Data Engineer - Advertising

Role overview Toss Careers is seeking a Data Engineer in Seoul to strengthen its advertising initiatives. The position centers on creating data solutions that guide advertising choices and enhance campaign results. Close collaboration with colleagues from different teams is a key part of the role. What you will do Build and maintain data pipelines and systems tailored for advertising analytics Use modern tools to process and analyze large volumes of data Work with team members to turn business requirements into technical solutions Transform raw data into practical insights that shape advertising strategy Location This role is located in Seoul.

Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.

Welcome to the journey of joining the Daangn team!At Daangn, we strive to create an environment where individuals can grow alongside the company's development.Our recruitment team is here to assist you in making the moment of collaborating with amazing colleagues a joyful reality. Introducing the Advertising TeamThe Advertising Team is responsible for the core advertising services that drive Daangn's revenue model. We operate an advertising platform targeting Daangn's 19 million monthly active users (MAU), providing effective advertising opportunities for both small businesses and large enterprises through localized advertising solutions. Our ongoing improvements can significantly impact advertisers' performance and Daangn's revenue, as we continuously evolve our services through data-driven decision-making and constant experimentation. The Advertising Team plays a pivotal role in balancing user experience with advertising effectiveness, ensuring we deliver useful and relevant ads while preserving Daangn's core values of community communication and transaction experiences. We develop various advertising formats and targeting options, leveraging machine learning technology to optimize advertising performance. Additionally, the team participates in crucial decision-making processes from an organizational perspective. Since ads are displayed across multiple app surfaces, we must consider not only ad performance but also the overall health of the service and user satisfaction. Therefore, we adopt a comprehensive approach that considers the needs of advertisers, user experience, and our business objectives. Within the Advertising Team, you'll engage in diverse tasks such as developing new advertising products, enhancing the advertising platform, analyzing and optimizing ad performance, and managing advertiser relationships. If you want to make an impact in a rapidly evolving advertising market grounded in innovative ideas and analytical thinking, the Advertising Team is the perfect choice for you. Learn more about the Daangn Advertising Team!Your ResponsibilitiesGrow into an expert handling large-scale advertising traffic.Daangn Market is a massive platform with 19 million MAU. Operating an advertising system reliably in this large-scale environment presents both challenges and opportunities. By joining the Advertising Team, you will work with systems that handle hundreds of millions of ad requests daily. You will learn how to respond to various issues that arise, enhancing your skills in building high-availability systems and practical problem-solving. Specifically, in the Serving Team, you will work with a Real-Time Bidding (RTB) system that demands millisecond-level response times, allowing you to acquire skills in designing and implementing ultra-low latency distributed systems. In the DSP Team, you will develop performance optimization and scalable architecture for processing large volumes of advertising data.Gain experience in data-driven decision-making and optimization.As a developer in the Advertising Team, you will handle vast amounts of user and ad performance data. You will have the opportunity to build and optimize pipelines for efficiently collecting, processing, and analyzing this data, enhancing your skills in big data processing technologies, data warehousing, and real-time data streaming. Additionally, you will gain hands-on experience applying machine learning models to real advertising systems, utilizing AI/ML technologies in areas such as user targeting, ad performance prediction, and real-time bid price determination to continuously improve the advertising system.Experience solving technical challenges in a continuously growing service.Daangn is in a constant state of growth. As such, the advertising system is continually expanding, with new features being added. You will experience evolving the system to accommodate various changes such as new ad product launches, expanded targeting options, and improved ad effectiveness measurement. For example, in the DSP Team, you'll be developing logic for new ad formats, integrating new data sources, and in the Serving Team, implementing new ad display methods, tackling various challenges that arise. Through this process, you’ll be able to learn about and apply the latest technological trends, significantly enhancing your technical capabilities.Design and operate microservices architecture directly.The Advertising Team adopts a microservices architecture, allowing you to design and implement independent microservices across different domains such as DSP, DMP, and recommendation systems. This experience will enable you to apply core concepts of microservices architecture, including inter-service communication, API design, and distributed transaction handling.

Welcome to the Journey of Joining the Daangn Team!At Daangn, we strive to create an environment where individuals can grow alongside the company's growth.The Daangn recruitment team is here to help facilitate those moments of thoughtful collaboration with wonderful colleagues. Introducing the Data Value TeamThe Daangn team is dedicated to uncovering valuable information within local neighborhoods and resolving inconveniences in regional living. To create user value, it's essential to provide trustworthy information that users can easily access and incorporate into their decision-making. While Daangn already utilizes extensive data for decision-making, maximizing the value of our data requires significant changes.The vision of the Data Value Team is to make decisions for users through data every day. To realize this vision, we proactively tackle challenges in data value realization and lead the way in solving them.About the Data Software Engineer RoleThe Data Software Engineer plays a crucial role in addressing the challenges that arise during the process of data value realization through software engineering.In alignment with Daangn's rapid growth, you will design data systems that will not become bottlenecks in the future. You will ensure data reliability through automated testing and system observability. Additionally, you will solve technical problems that arise as Daangn members seek to understand users through data, thereby exponentially enhancing data-informed decision-making through data products (indicator platforms, experiment platforms, etc.).The mission of the Data Value Team's engineers is to facilitate a seamless flow of high-quality data at Daangn, enabling the creation of value without bottlenecks. Discover the Journey of the Data Value Team Growing with Daangn (Google Data Webinar) Learn about Daangn's Indicator Platform, KarrotMetrics Seven Challenges Daangn Faced in Implementing DBT and Airflow Tips for Easy Modeling with DBT from Daangn's Data Engineer (2024 Data Conference) Creating a Data Map at Daangn: Building Column Level Lineage No Need to Always Fetch Everything? Daangn's MongoDB CDC Build

Coupang, a leading e-commerce company based in Seoul, South Korea, delivers services across shopping, dining, and lifestyle. The company is recognized for its focus on customer experience and its commitment to innovation. Employees are encouraged to take initiative and contribute to both their own growth and the company’s mission of solving customer challenges. The Advertising Division at Coupang creates solutions that help brands and marketers reach goals such as revenue growth, market share, customer acquisition, and brand awareness. Teams within this division include Sales, Marketing, Video Product, Operations, Product, and Engineering. Collaboration, customer-centric thinking, and diverse perspectives shape the way these teams work together. The LCS Account Management team partners directly with advertisers to understand their business objectives and key performance indicators. By creating tailored media plans and collaborating with internal groups, the team supports advertiser growth using Coupang’s advertising products. Role overview This Account Manager position focuses on supporting mid- to large-scale advertisers within Coupang’s Advertising Division in Seoul. What you will do Analyze large datasets to help advertisers assess the effectiveness of their investments and guide their decision-making.

Join Our Team!The Realtime Data Engineer will be part of the Realtime Data Team within our Data Division.This team operates a distributed messaging streaming platform, ensuring the stable transmission of large-scale financial transactions.We manage high-volume data pipelines that deliver data with zero latency while maintaining integrity.Moreover, we integrate real-time data into OLAP environments, enabling immediate business decision-making and service enhancement. Your Responsibilities:Operate and optimize our Kafka cluster to ensure high availability of large-scale data from Toss Securities.Utilize tools like CDC, Kafka Connect, Flink, and ksqlDB to construct real-time data pipelines.Manage OLAP to efficiently store and query large volumes of incoming real-time data, optimizing query performance.Enhance architecture for greater throughput and lower latency, proactively assessing and implementing next-gen technologies for reliable data services. Ideal Candidate:Experience managing large-scale data platforms, ensuring infrastructure stability and performance.Proven experience designing and operating Kafka-based architectures or a deep understanding of distributed messaging systems.Intermediate to advanced proficiency in Java (or Kotlin), capable of implementing complex business logic in real-time streaming frameworks (Flink, ksqlDB).Experience building or operating real-time analytics environments using OLAP systems like ClickHouse, StarRocks, Druid, or Pinot.A broad experience in Data Engineering or depth in a specific area, eager to expand your role.Strong foundation in Data Engineering skills, quick to learn new tech stacks, and adept at finding optimal solutions in diverse situations.Excellent communication skills to collaboratively tackle complex problems with the team. Joining Toss Securities:Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding Please Note:Any inaccuracies found in the resume or disciplinary issues during employment history may lead to cancellation of the application.Candidates who are prohibited from hiring or have disqualifying reasons according to Toss Securities' regulations may have their applications canceled.Individuals with disabilities or national veterans are given preferential treatment in accordance with relevant laws. A Note for Future Colleagues:Processing transaction data generated in the securities domain in real-time is of high importance from a business perspective and poses significant technical challenges.The Toss Securities Realtime Data Team is at the forefront of this effort, currently maintaining stable securities services.Toss Securities continues to grow. We hope that the entire process of maintaining the systems of a growing securities firm will be an enjoyable journey.

Join Our Team!Toss Securities is rapidly growing under the mission of "Innovating every investment experience for our customers", boasting over 7.4 million registered users and 4 million active monthly users. We are currently leading in foreign stock transaction volumes. Our diverse range of investment products, including stocks, bonds, and options, expands our customers' choices. At the core of this growth is our robust and trustworthy data platform. Toss Securities is at a pivotal moment, needing to design a data architecture capable of handling large-scale real-time trading data, user behavior data, and regulatory compliance data.We are seeking a Head of Data Engineering to design and lead this structural transformation. This role is not just about operations; it is key to defining the data future of Toss Securities and enabling our organization to work data-driven.Your Responsibilities:Design and build an on-premise distributed architecture aligned with our mid-to-long-term business strategy, resolving data silos through Hadoop enhancements and transitioning to a Kafka-centered streaming-first approach.Construct and operate large-scale batch and streaming pipelines based on Spark/Flink and Kafka, ensuring reliable data processing through high-availability ETL/ELT design and performance optimization.Establish and manage data standards (layering, naming, permissions), quality management (DQ rules, SLA, lineage), and regulatory compliance frameworks based on metadata and personal information (PII).Coordinate data interests across services, risk, accounting, AI, and backend teams, establishing and executing a comprehensive data strategy including integration strategies and ownership definitions.Design the goals, structure, and processes of the data organization, leading a growing team through coaching and decision-making while addressing technical debt and fostering a trust-based environment.Oversee the design and operation of ML platforms and infrastructure for LLM/recommendation services, collaborating with service teams to build model deployment, operation, monitoring standards, and automated pipelines.Ideal Candidate:10+ years of experience in data engineering or platform architecture.Experience designing and operating large-scale clusters (Hadoop, Kafka).Proficiency in real-time streaming and batch data processing architecture design.Experience in building data governance, quality, and permission management systems.Leadership experience in engineering organizations (5-50 team members) is preferred.Excellent coordination and communication skills across diverse organizational stakeholders.Additional Preferred Qualifications:Experience with financial data in securities, banking, or fintech.Experience handling data within regulatory environments (e.g., PIPA, Financial Transaction Act).Experience in building semantic layers or data meshes.Experience with real-time transaction or advertising/shopping service data.Experience designing and operating large-scale model training, serving, and MLOps/LLMOps pipelines (e.g., Kubeflow, Argo, H100/H200 GPU clusters, vLLM/Triton).Experience with feature stores for real-time recommendations, model optimization, profiling (e.g., BentoML, ONNX, torchserve), and LLM fine-tuning/RAG operations.

Coupang is seeking a Retail Media Advertising Strategy and Account Management Lead to support large advertisers in Seoul, South Korea. This position sits within Coupang Ads, a team dedicated to helping advertisers reach their business goals through tailored advertising solutions and close, cross-functional collaboration. Role overview This lead role focuses on developing and executing advertising strategies for major clients. The position involves comprehensive data analysis, strategic planning, and hands-on account management. The team works closely with sales, product, and policy groups to support advertisers’ growth on the Coupang platform. What you will do Analyze large datasets to evaluate advertiser performance and identify opportunities for business growth. Develop and lead weekly, monthly, and quarterly sales strategies and media plans using Coupang’s full suite of advertising products. Provide campaign optimization, performance analysis, and strategic consulting to improve advertising results. Assess product competitiveness, support early adoption of new products, and offer demand forecasting advice to advertisers. Participate in team projects and cross-functional initiatives, in addition to managing assigned advertiser accounts. Requirements At least 10 years of relevant experience, with a track record of strategic proposals based on category trends and business insights. Experience meeting individual performance KPIs in a results-driven organization. Background in direct advertising consulting, partnerships, or sales with advertisers or agencies, ideally within media platforms or marketing teams. Strong understanding of retail media, advertising, and marketing industries, including products, solutions, and trends. Expertise in planning, operating, and reporting within the retail ecosystem. Ability to communicate complex business concepts clearly and influence outcomes with advertisers. Preferred qualifications Advanced data analysis skills and experience developing advertising strategies from analytical results. Ability to structure and present recommendations for performance improvement. Experience preparing performance reports and organizing data into presentations using Excel and PowerPoint. Background in presenting full-funnel marketing media plans with Coupang advertising products.

Join Coupang, a company dedicated to delivering exceptional customer experiences that make people wonder how they ever lived without us. Our mission is realized when customers say, 'How did I ever live without Coupang?' We are at the forefront of revolutionizing the multi-billion dollar e-commerce industry with a singular focus on making shopping, dining, and daily living convenient for our customers.As one of the fastest-growing e-commerce companies, Coupang has established an unparalleled position in the domestic market and built trust with our customers. We pride ourselves on being a publicly listed global company rooted in a startup culture, maintaining the agility of our founding days while continuously launching new services and expanding our business. Every employee at Coupang is equipped with the entrepreneurial spirit to drive innovation and initiatives. A willingness to dive in and achieve results is at the core of how we operate. At Coupang, you will witness daily growth in yourself, your colleagues, your team, and the entire company.The mission of Coupang is to create the future of commerce. We are passionate about solving customer problems, challenging traditional notions, and pushing the boundaries of what is achievable. If you seek an incredible work experience in a hyper-connected world with always-on high-tech capabilities, join Coupang today!Coupang Eats, our rapidly growing food delivery service, made its debut in the domestic delivery industry in 2019 and surprised the world in 2024 with our 'Unlimited Free Delivery' initiative. Our relentless pursuit of delivering the best possible dining experience is the result of our ongoing efforts.The innovations we have introduced so far are just the beginning. We will not stop challenging ourselves to provide everyone with better dining experiences. Coupang Eats offers opportunities to enhance the capabilities of our members. If you want to grow a business alongside experts in various fields, join Coupang Eats now!

Join our dynamic Advertising domain at Toss, where we are transforming the app tech industry with innovative advertising solutions that deliver value to both users and advertisers.As a key player in the Ads division, you will oversee the complete lifecycle of advertising products, from defining core metrics to designing business models and executing actionable plans.Collaborate with various teams to ensure that our advertising platform generates value and revenue while fostering long-term growth.Analyze advertiser needs and market trends to introduce new functionalities that enhance our platform.Continuously improve services through performance analysis and iterative feedback.Work closely with advertisers and internal stakeholders to deliver effective advertising solutions.

Welcome to the Daangn Team!At Daangn, we strive to create an environment where individuals can grow alongside the company as we expand.Our recruitment team is here to ensure that you can engage in meaningful discussions with amazing colleagues. Introducing the Advertising Solutions TeamDaangn Market operates an advertising service that monetizes traffic based on regional dynamics. With a monthly active user base of 19 million, we are dedicated to maximizing the value for advertisers and users alike, making it easy for anyone to connect with potential customers. Currently, we offer native feed ads (DA) on home feeds and search ads (SA) on result pages, with plans to diversify our advertising formats across various platforms in the future. The Advertising Solutions Team is focused on enhancing and optimizing advertising products to ensure that small businesses and large advertisers alike can experience tangible advertising success through Daangn Market.Key ResponsibilitiesPlan and enhance specifications for advertising products.Experiment with hypotheses based on data and improve key performance indicators.Introduce optimization tools to enhance advertising product performance and improve modeling.Lead collaboration with service and platform departments while managing projects.Who We Are Looking ForIndividuals with over 5 years of experience in Product Management.Those with at least 2 years of experience in planning advertising products and platforms.Highly interested in programmatic advertising with a strong technical understanding.Preferred QualificationsExperience in planning and launching advertising products from concept to market.Background in managing projects with various stakeholders.Strong understanding of online advertising platforms and the advertising business ecosystem.Self-motivated individuals with a positive mindset.Capability to analyze business data effectively.Additional InformationFor full-time positions, there is a 3-month probationary period.Individuals with disabilities and veterans will be given preference in hiring according to the 'Act on the Promotion of Employment for Persons with Disabilities' and the 'Act on the Honorable Treatment and Support of Veterans.'Application Process1. Document screening → 2. Video interview → 3. Job interview (task-based) → 4. Cultural fit interview and reference check → 5. Offer negotiation → 6. Final acceptance and onboardingClick here for the Daangn onboarding journey guide ()

Join Appier as a dynamic Sales Manager for Advertising Solutions, where you will lead efforts to drive sales and expand our innovative advertising services. You will collaborate with a talented team to leverage cutting-edge technology and deliver exceptional value to our clients. Your strategic vision and ability to build strong relationships will be key in shaping our sales strategies and achieving growth targets.

Join Our Dynamic Team!The Data Analytics Engineer (Data Engineer) at Toss Securities is an integral part of the Data Warehouse Team within the Data Division.Your focus will be on Data Platform and Data Mart, with opportunities to collaborate cross-functionally.The Mart responsibilities include structuring and managing data from the Toss Securities domain to facilitate analysis through data warehouse and aggregation table creation.Our current team of approximately 7 members brings diverse experiences ranging from 2 to 14 years, with backgrounds in various sectors such as portals, banking, gaming, and startups. Curious About Our Data Division?The Data Division at Toss Securities strives to become a world-class securities firm by leveraging data technology, services, and data-driven decision-making.We foster close collaboration among various data roles, creating an enjoyable working environment.Regular Tech Weekly sessions are held to share expertise, allowing you to engage with and learn from other roles as per your interest. Your Responsibilities Will Include:Designing clear and reliable table structures that can be easily understood and utilized, encompassing architecture design, compliance with standards, data processing logic management, data integrity validation, DQ monitoring, security reviews, and documentation using meta management systems.Collaborating with data users to design data marts and establish pipelines for key business performance analysis.Setting the groundwork for effective data asset utilization through data cataloging and standard management.Proactively addressing essential data processing tasks in a rapidly growing service environment with your colleagues.Enhancing system efficiency by effectively refactoring and optimizing various existing mart tables through data modeling that considers consistency, reusability, and scalability.Designing data marts and constructing pipelines for external/public reporting requirements. We Are Looking For Someone Who:Has a deep understanding of the securities domain or has actively engaged in stock trading.Can clearly define key concepts of the securities domain as a DW data modeler and take the lead in designing easy-to-understand data structures.Has experience simplifying complex data models or automating repetitive issues.Can propose efficient data processing methods while adhering to data standards through smooth communication with various stakeholders.Has experience structuring enterprise tables through defining data standards and building data catalogs.Is capable of independently conducting data warehouse/mart modeling, pipeline construction, and operational tasks.Can present standards from a clear data structure and efficient utilization perspective, rather than just processing simple requests.Is proficient in SQL and can write organized queries considering readability and efficiency.Has experience developing data pipelines based on Hadoop, Airflow, and DBT.May need to have intermediate to advanced skills in PySpark, depending on the situation.Would benefit from having experience with BI tools such as Tableau. Resume Tips:Detail impactful projects you have worked on.If you have improved services, quantify the results (omit sensitive external information).Elaborate on your work related to data governance.Include business analysis or reporting experience.

About the Team You'll Join The Data Analytics Engineer at Toss Securities is part of the Data Warehouse Team within the Data Division. Your responsibilities will be focused on Data Platform and Data Mart tasks. While your primary focus will vary, you will also engage in cross-functional projects. The Platform tasks involve maintaining and optimizing ETL/Pipeline Tools to effectively manage the DW Mart tables. You will explore and implement new methods to reduce DW operation time with limited resources. Our goal is to maximize data utilization across the organization using tables managed by the DW team. The current team consists of approximately 7 members with varying experience levels ranging from 2 to 14 years, coming from diverse backgrounds including portals, banking, gaming, and startups. Curious about the Data Division? The Data Division at Toss Securities aims to become the world's leading securities firm in data handling, contributing through data technology, services, and data-driven decision-making. We foster close collaboration among various data professionals and enjoy our work. Regular Tech Weekly sessions allow us to share expertise, and you can freely engage with different teams to learn from each other. Your Responsibilities Experience and contribute to an efficient DW environment within a rapidly growing agile organization. Design data marts and develop and automate DW Data Workflows based on the Hadoop Ecosystem and open-source solutions. Identify and implement methods for structuring and automating numerous DW/Mart tables. Process large volumes of data swiftly and effectively to create and manage various features. Establish Data Quality Checks and Governance within the data marts. Experience in deriving and establishing system requirements for large data processing and analysis is a plus. Ideal Candidate At least 5 years of experience as a Data Engineer is essential. You should possess a fundamental understanding of RDBMS, Hadoop Ecosystem, and Data Warehousing. Proven experience in leading the design, construction, and operation of data marts is required. You should be capable of installing, operating, and troubleshooting Airflow, DBT, and Django, with the ability to modify open-source tools to develop features needed for securities DW. Experience in simplifying complex problems or automating repetitive tasks using data models is critical. Extensive experience in efficiently processing big data using Spark is highly desirable. Intermediate proficiency in Python and advanced skills in SQL are required. Resume Tips If you have resolved critical issues while operating platforms or optimized performance and system resource usage, please include those experiences. Be specific about impactful projects you have worked on. If you have addressed bugs or issues while using open-source tools, or developed or enhanced features, please detail those experiences. Highlight the results of any improvements made in actual services, quantified if possible (please exclude sensitive information if necessary). Join Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation >...

Welcome to the daangn Team!At daangn, we strive to create an environment where individuals can grow alongside the company’s success.We are here to assist you in making meaningful connections with fantastic colleagues. Introducing the Data Valuation TeamThe daangn team is dedicated to discovering valuable information that connects neighborhoods and resolving inconveniences in local living. To generate this user value, we must provide easy access to reliable information for decision-making. While we already utilize vast amounts of data for our decisions, maximizing the value of our data requires substantial change.The vision of the Data Valuation Team is to "make user-centric decisions through daily data utilization." We take the lead in addressing and solving the issues of data valuation.Role of the Data Analytics EngineerThe Data Analytics Engineer ensures that data is utilized reliably and consistently, working across data modeling, engineering, and analysis to deliver value to the business and its users.In the diverse service environment of daangn, the Data Analytics Engineer will design and improve the overall flow of data collection to utilization, enabling analysts, engineers, and product teams to leverage data reliably.Moreover, the role involves designing data marts, managing quality, operating data governance frameworks, and performing basic analyses or experiments to support data-driven decision-making. Discover the Journey of the Data Valuation Team with daangn (Google Data Webinar) Learn about daangn's Metric Platform KarrotMetrics The 7 Challenges daangn Faced While Implementing DBT and Airflow How daangn's Data Engineers Simplified Modeling with DBT (2024 Data Conference) Mapping daangn Data: Column Level Lineage Building No Need to Always Pull Everything? Building MongoDB CDC at daangn Why daangn Implements User Activation Engagement in 3 Key Areas

Join Our Data Platform Team!As a Data Engineer at Toss, you will be part of our Data Platform Team.The team consists of Data Engineers and Data Analytics Engineers.We are responsible for building platforms and data pipelines essential for analyzing the services provided by Toss.Your ResponsibilitiesDevelop and operate OLAP (Online Analytical Processing) based data pipelines.Design and optimize systems for reliable operation of large-scale data analysis and real-time/batch data pipelines.Develop and manage batch and streaming pipelines to load various types of data generated at Toss.Continuously improve data models and processing logic based on service requirements.We Are Looking For Candidates Who HaveExperience operating services in a Kubernetes (K8s) based environment.Experience in designing and operating data streaming pipelines using Kafka and Kafka Connect.Experience in processing large volumes of data using Apache Spark (Batch/Structured Streaming).Additional Skills That Would Be a PlusExperience in operating and tuning MPP/OLAP engines like StarRocks or ClickHouse.Experience in building Data Lakehouses using Open Table Formats such as Apache Iceberg, Hudi, or Delta Lake.Experience in real-time data processing using streaming frameworks like Kafka Streams or Apache Flink.Experience in designing and operating ETL pipelines based on Airflow.Your Journey to Join TossApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer

Join our dynamic team at Toss as a Data Analytics Engineer, where you will play a crucial role in transforming raw data into actionable insights. You will collaborate with cross-functional teams to identify opportunities for improving our services and enhancing user experiences.

Welcome to the daangn Team!At daangn, we strive to create an environment where individuals can grow alongside the company as it expands.The daangn recruitment team is here to support you in finding the moment where you can engage in meaningful discussions with amazing colleagues. Introducing the Advertising Sales TeamThe daangn Advertising Sales Team serves as the driving force behind business growth. We assist advertisers and consumers in connecting more deeply within the daily lives of millions of users nationwide. Our team provides performance-focused advertising solutions to a diverse range of partners, including brands and advertising agencies. Leveraging data-driven insights, market understanding, and rapid execution, we maximize advertising efficiency while continuously experimenting and evolving in response to changing environments. Our goal is to become a growth partner with advertisers and agencies rather than just a sales team. How did daangn Advertising become a basic setting in proposals? How did video-type advertising grow tenfold?Key ResponsibilitiesThe Advertising Sales Manager's objective goes beyond mere partner management; it is to increase daangn's market share by breaking down existing barriers and accelerating growth through the utilization of our expert advertising solutions.The challenges we tackle include:Inability to clearly understand the distinctiveness and strengths of daangn advertising, resulting in lower proposal priority.Lack of understanding regarding product utilization, making it difficult to maximize performance.No clear strategies and execution systems for expanding daangn advertising within agencies, leading to slow performance growth.To overcome these challenges and expand our market share, we work in the following ways:Customized Sales Strategy Planning and Execution: We compellingly present the value of daangn advertising based on an analysis of each agency's environment.On-site Consulting Desk Operation: We conduct consulting work to improve the performance of ongoing campaigns through meetings with key client representatives and proposals for new campaigns.Marketer Capability Enhancement Training: We support increasing understanding of daangn advertising through offline seminars and online webinars, helping improve campaign performance.Discovery of Additional Official Agencies: We expand our partner network to create new market opportunities.In essence, we are responsible for the proliferation of daangn's expert advertising model, creating an environment where agencies can propose and operate daangn advertising more frequently, effectively, and successfully.Who We Are Looking ForExperience in Agency Sales and Digital Marketing...

Join our innovative team at Toss Payments as a Data Engineer, where you'll play a crucial role in building and optimizing our data infrastructure. You will work with cutting-edge technologies, collaborating with cross-functional teams to drive data-driven insights and solutions. Your expertise will help us enhance our payment systems and improve user experiences.

Join Our Dynamic Team!The Data Engineer for Workflow Platform is an integral member of Toss Bank's Data Division, specifically within the Data Platform team.This team comprises three key areas: Data Infrastructure & Hadoop, Streaming Platform, and Workflow Platform.We operate various Data Platforms, including Hadoop, Kafka, CDC, and Airflow.Our mission is to ensure the reliability and scalability of the enterprise data infrastructure, ensuring all data is securely collected and processed.Your Responsibilities:Design and operate a large-scale data workflow execution platform in an on-premise Kubernetes environment.Optimize resources to ensure the stable execution of large workflows across various data organizations, enhancing platform performance and reliability.Collaborate with enterprise data engineers to improve the execution quality of the overall data pipeline and enhance developer experience.Monitor workflow execution status, design and improve systems for automated fault detection, alerts, and recovery procedures.Safely manage workflow executions in accordance with internal control standards of the financial sector, advancing a systematic history management system.Continuously review and implement new technologies and open-source solutions to enhance the performance and scalability of the workflow platform.We Are Looking For:Experience operating an Airflow-based workflow orchestration system with proven improvements in stability, scalability, and execution efficiency.Background in developing Python-based data workflows and platform services.Understanding of container technologies (Docker, Kubernetes, etc.) and experience in automating service deployment and configuration using tools like Helm.Ability to understand company environments and communicate effectively with various teams during service development.A keen interest in improving operational efficiency and optimization in large-scale workflow environments.Desire to enhance platform user experience to facilitate easier and safer pipeline development and operations for in-house data engineers.A proactive approach to analyzing, modifying, and improving open-source solutions at the code level to solve issues.Resume Submission Tips:Clearly outline impactful projects you have worked on in your career.Focus on experiences related to data platforms, particularly with Airflow, Kubernetes, and Python.