Senior Network Engineer at Caxton | Bengaluru, Karnataka

At Branch, we empower every interaction with reliable links and valuable insights that drive measurable growth. Our advanced attribution, powered by AI-driven linking, is trusted to facilitate seamless experiences that enhance ROI, reduce wasted expenditures, and eliminate fragmented attribution.We uphold the same commitment to building our team, enabling our members to act swiftly, take ownership of results, and create impactful solutions. We take pride in investing in our team's health, wealth, and professional development so each individual can flourish as we expand. Our culture values intelligent, humble, and collaborative colleagues who embrace accountability and produce results in an environment where their contributions significantly advance the business.We are innovative, intentionally scaling, and led by experienced leaders who understand the nuances of building lasting companies. Trusted by notable brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we strike the perfect balance of being substantial enough to make an impact while remaining small enough for you to create a meaningful difference. If you are energized by the challenge of building, rapid learning, and shaping the future of customer growth, you will find your place here.In your role as a Senior Data Engineer, you will design, build, and manage components of our robust real-time and batch data pipelines, processing petabytes of data. Our platform is engineered to ingest and analyze billions of events daily, making the resulting aggregations and insights available within minutes in our analytical data stores. Data Analytics is central to our operations, and we continuously innovate to enhance our systems' performance, timeliness, cost-effectiveness, and reliability. You will enhance our core data infrastructure and pipelines using state-of-the-art technologies such as Flink, Spark, Kafka, Iceberg, and Druid while operating within the AWS cloud environment.If you are eager to develop systems capable of processing billions of data points a day and explore petabytes of data, and are ready to push the boundaries of what is feasible with data, this is the place for you!

At Branch, we empower every interaction with powerful links and valuable insights. Our technology transforms clicks into conversions, making growth measurable and effective. With our advanced AI-driven attribution, we provide seamless experiences that maximize ROI, reduce wasted spending, and eliminate fragmented attribution.We hold the same commitment to our team, fostering an environment where our people can thrive, take ownership of outcomes, and create impactful solutions. Our culture emphasizes smart, humble, and collaborative individuals who take responsibility and drive results, ensuring that their contributions significantly advance our business.We are a forward-thinking company, scaling intentionally under the guidance of experienced leaders adept at building sustainable businesses. Trusted by esteemed brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we are large enough to make a difference while remaining small enough for you to have a tangible impact. If you are excited by the challenge of building, rapid learning, and shaping the future of customer growth, you will find a home here.Role Overview:As a Technical Project Manager at Branch, you will collaborate with prominent global brands to integrate our mobile technology into their marketing ecosystems. The ideal candidate will excel at managing the implementation of innovative mobile solutions while cultivating strong client relationships through strategic communications. Within Branch’s Professional Services team, you will also have the chance to influence future service offerings in response to market dynamics. If you are a motivated and organized project manager who is enthusiastic about mobile technology, adept at nurturing relationships with stakeholders, and can effectively articulate Branch’s value proposition to diverse audiences, then you are well-suited for this critical role that drives Branch's growth.

At Branch Metrics, we empower every interaction with effective links and actionable insights that drive measurable growth. From the initial click to conversion, we ensure you can quantify your growth. Our unique attribution solutions, strengthened by AI-driven linking, are designed to enhance user experiences, boost ROI, reduce wasted spend, and eliminate fragmented attribution.We approach team building with the same commitment, enabling our team members to act swiftly, take ownership of their outcomes, and create impactful results. We pride ourselves on investing in the health, wealth, and personal development of our team, fostering an environment where individuals can flourish as we expand. Our culture celebrates smart, humble, and collaborative team members who are accountable and results-driven, all while contributing significantly to our business goals.As a company, we are innovative and purpose-driven, guided by experienced leaders adept at building sustainable companies. Trusted by renowned brands such as Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we strike the ideal balance of being impactful yet nimble enough for you to make a significant difference. If you are passionate about building, rapid learning, and shaping the future of customer growth, you will find a welcoming home with us.We are in search of a talented and seasoned Senior Data Scientist to spearhead our initiatives in optimizing ad display on native Android surfaces. In this position, you will devise and implement data-driven strategies aimed at maximizing ad effectiveness, user engagement, and revenue generation. Your collaboration with product managers, engineers, and cross-functional teams will be crucial in driving innovation, enhancing ad relevance, and ensuring a seamless user experience.

Join our India Tech Hub – Be among the first hires!Kobie Marketing, a leader in the loyalty industry with over 35 years of experience, is excited to announce the establishment of our Tech Hub in India. Recognized as a multi-year Forrester Leader and a Top Workplace in the USA, Kobie collaborates with global brands to enhance customer loyalty through personalized, data-driven experiences. As we expand our global footprint, this is a unique opportunity for you to contribute to our mission of driving enterprise value through loyalty. Be part of a dynamic team that is at the forefront of innovation in customer experiences for some of the world’s most renowned brands.About the Team and Our VisionOur team specializes in uncovering actionable insights from our clients’ loyalty data, which play a crucial role in enhancing enterprise value. We are committed to developing real-time dashboards that provide invaluable information to both internal and external stakeholders.As a Data Engineer at Kobie, you will be a key contributor to our data engineering team. Your expertise will be vital in implementing ETL/ELT processes and data integrations, as well as populating Kimball-style star schemas from a variety of data sources across multiple data warehouse implementations. Your responsibilities will range from gathering requirements to designing business processes and dimensional models. A deep understanding of OLTP, Data Vault, and star schemas will be essential as you analyze source data to determine its potential in meeting business objectives. Your goal will be to develop scalable, efficient, auditable, and reusable processes.

Fivetran builds technology that makes data access simple and dependable. Our platform moves customer data into their warehouses, ready for analysis, with minimal engineering effort. Organizations around the world rely on Fivetran to support their data-driven work every day. Role Overview The Senior Software Engineer will join the Datalakes team in Bengaluru, Karnataka. This group focuses on the systems that power Fivetran’s Datalakes platform, ensuring data moves reliably and efficiently into datalake ecosystems. This is a full-time, hybrid role. Team members work from the Bangalore office two days per week, with flexibility to work remotely the rest of the time. What You Will Do Design and build new features for the Datalakes platform. Improve and maintain existing services to support reliability, scalability, and performance. Address technical challenges in distributed systems, focusing on correctness, operability, and long-term stability. Review code and designs, and influence architectural decisions within the team. Mentor junior engineers and help raise the technical bar across the group. Who We’re Looking For Strong technical skills in building and maintaining large-scale systems. A pragmatic approach to solving engineering problems. Collaborative mindset and willingness to work closely with others. Interest in tackling complex challenges at scale, especially in data and distributed systems.

Join Zeta Global as a Senior Data Engineer, where you'll play a pivotal role in designing, constructing, and managing the data pipelines that drive our cutting-edge AdTech platform. This is an individual contributor position focused on large-scale batch and streaming data processing, delivering reliable data products, and creating analytics-ready datasets that facilitate predictions, agentic workflows, business intelligence reporting, and performance measurement. Collaborate effectively with backend, machine learning, and product teams to ensure the delivery of high-quality, well-structured data with excellent performance and observability. Your Responsibilities: Data Pipeline Development: Construct robust batch and streaming data pipelines using technologies like Kafka and Kinesis to process and enrich extensive event data, including impressions, clicks, conversions, costs, and identity signals. Data Aggregation & Marts: Design and maintain curated aggregates and dimensional models for various stakeholders, including prediction models, agents, BI dashboards, and measurement workflows. Data Modeling & Contracts: Establish schemas, data contracts, and versioning strategies to maintain stability in downstream systems as data sources evolve. Data Quality & Reliability: Implement validation, anomaly detection, backfills, and reconciliation processes to ensure data completeness, correctness, and timeliness according to SLAs and SLOs. Performance & Cost Optimization: Optimize compute and storage resources for scalability, focusing on partitioning, file sizing, incremental processing, and indexing while balancing latency, throughput, and cost. Orchestration & Automation: Develop repeatable workflows with scheduling/orchestration tools (e.g., Airflow, Dagster, Step Functions) and CI/CD practices for data pipelines. Data System Observability: Instrument data pipelines with metrics, logs, lineage, and alerts to enhance the detection and root-cause analysis of data issues. Security & Governance: Implement least-privilege access, comply with PII handling standards, and establish governance controls that align with enterprise policies.

Join our innovative team at Sixt as a Data Engineer II, where you will play a vital role in designing and implementing robust data pipelines and architectures. Your expertise will help us transform raw data into actionable insights, enhancing our business decisions and customer experience. If you are passionate about working with large datasets and have a keen interest in data analytics, we want to hear from you!

Since its inception, Fivetran has been dedicated to simplifying data access, ensuring it's as reliable as electricity. We empower organizations to harness their customer data effortlessly, making it readily available in their warehouses—canonical and primed for queries—without the need for extensive engineering or upkeep. Our technology is embraced by an ever-growing number of businesses striving to become fully data-driven.About the RoleWe are in search of a skilled Senior Software Engineer who is passionate about creating high-quality enterprise software to become part of our team. Your focus will be on developing exceptional enterprise capabilities and features tailored to our largest and most complex clientele. The work you undertake will not only be highly visible but also vital for the long-term growth and success of Fivetran. Your contributions will resonate throughout the entire product as we advance our next generation of enterprise, data governance, and solutions engineering offerings.Our team is dedicated to enhancing a high-performance extract-load-transform data integration system that enables our connector teams to deploy the Fivetran ELT product using robust abstractions. This role will challenge you to tackle issues in performance engineering, data security, and cluster orchestration. You don’t need to be a subject matter expert when you join us; you will become one during your time here!We seek individuals who can appreciate the core values that enhance our product and apply those values in the numerous small decisions they make each day.This position is full-time, based in our Bangalore office. Our hybrid work model provides a mix of remote flexibility and in-person collaboration, requiring two days in the office each week to foster team connection and development.

About UsAt Metropolis, we are pioneers in artificial intelligence, utilizing cutting-edge computer vision technology to create seamless, checkout-free experiences in everyday life. Our mission is to transform parking solutions, enabling millions of users to simply 'drive in and drive out' effortlessly. We envision a future where transactions in the physical realm are as swift and convenient as online interactions, allowing everyone to reclaim their most precious resource—time.Your RoleWe are on the lookout for a Senior Analytics Engineer to enhance our Data Engineering and Analytics team. This strategic position is tailored for someone passionate about leveraging data to drive value and equipped with a robust background in analytics engineering. You will play a critical role in making data accessible and actionable, empowering data-driven decision-making across the organization. Collaborating with various product teams, you will lead initiatives that shape our data vision and architecture, ensuring impactful outcomes.

Join the team as an Azure Data Engineer for one of Weekday's esteemed clients!With a minimum of 3 years of experience, you will play a pivotal role in designing, constructing, and managing scalable data solutions on Microsoft Azure.As an Azure Data Engineer, you will develop and optimize data pipelines and workflows to bolster business intelligence, analytics, and data science initiatives. Your expertise in Azure-native tools and services will ensure the delivery of robust, secure, and high-performance data solutions.Key responsibilities include building and maintaining ETL/ELT pipelines using Azure Data Factory, enabling efficient data ingestion from diverse structured and unstructured sources. You will utilize Azure Data Lake Storage and Azure Blob Storage for managing extensive datasets while ensuring data organization and governance.Furthermore, you will leverage Azure Synapse Analytics or Azure SQL Database to transform and model data for downstream applications. Collaborating closely with data analysts, scientists, and cross-functional teams, you will address business requirements and deliver dependable data solutions.In this role, maintaining data quality, integrity, and security through best practices and governance policies will be essential. Monitoring, troubleshooting data pipelines, optimizing performance, and ensuring high availability will be integral to your tasks.

Join our dynamic team at gsstech-group as a talented Data Engineer within the Data Engineering Chapter, working closely with the Group Operations team at ENBD. In this role, you will be instrumental in developing scalable data pipelines, conducting data analyses, and providing top-tier data solutions that align with our enterprise data models.Key ResponsibilitiesEngage with the Group Operations Team daily to clarify business and data requirements.Execute Impact Assessments for both new and existing data modifications.Carry out Technical Data Mapping and Data Profiling.Design, implement, and sustain ETL pipelines for efficient data extraction, transformation, and loading.Create data solutions that integrate with the AECB application following established data models.Enhance and maintain data pipelines utilizing PySpark on contemporary data platforms.Ensure the quality, consistency, and integrity of data across various systems.Conduct unit testing, debugging, and deployment of data solutions.Utilize modern tools and AI technologies (e.g., Claude) to boost development efficiency and minimize operational errors.Collaborate effectively with cross-functional teams including business analysts, architects, and QA.Required Skills & QualificationsProven expertise in PySpark and distributed data processing.Experience with Informatica BDM Development (Big Data Management).Deep understanding of ETL/ELT concepts and data pipeline architecture.Proficiency in data mapping, data profiling, and impact analysis.Experience with large-scale data systems and cloud/data platforms.Strong SQL skills and a solid grasp of data warehousing principles.Familiarity with the banking/financial domain is a plus.Knowledge of AI-assisted development tools (e.g., Claude) is advantageous.Excellent problem-solving and analytical abilities.Preferred QualificationsExperience with AECB data/reporting systems.Exposure to big data ecosystems (Hadoop/Spark clusters).Understanding of data governance and compliance standards.

Join weekday-1 as a Data Engineer and play a pivotal role in transforming data into actionable insights. You will be responsible for designing and implementing robust data pipelines, optimizing data flows, and ensuring the integrity and security of our data systems. If you're passionate about leveraging data to drive business decisions, this opportunity is for you.

Okta’s mission centers on securing identity for both AI and human users. The company builds infrastructure that helps organizations navigate new technology with confidence. Okta values people who solve complex problems, take ownership, and deliver precise results. Auth0, part of Okta, provides a developer-focused authentication and authorization platform. This platform simplifies login processes and keeps user access secure and seamless. About the Data Engineering Team The Auth0 Data Engineering team designs and maintains solutions that support analytics across the company. The team manages the Data Platform and is organized into three main groups: Pipeline Team: Handles data ingestion and works with platform teams and data producers to make unstructured data quickly accessible. Warehouse Team: Partners with business teams and data consumers to model data in the warehouse, making analysis and reporting easier for everyone. Interface Team: Builds and manages connections between the data platform and external systems so that data remains consistent and reliable. Role overview This Senior Data Engineer position reports to the manager of the Data Engineering Pipeline team. The role focuses on keeping Okta’s core data platform reliable and efficient, which is essential for daily operations and company growth. The engineer will take ownership of data ingestion pipelines, work with platform teams and data producers, and help onboard new data sources from both internal and external systems. The team builds scalable data solutions using a modern toolset. This role suits someone who is self-driven and eager to create stable foundations for analytics and product innovation.

Role Overview fuku is looking for a Data Scientist in Bengaluru, Karnataka. This role focuses on applying data analysis and machine learning methods to support decision-making across the company. The work centers on turning raw data into clear, useful insights that shape products and services.

Join Our Innovative India Tech Hub – Be Among the First Hires!Kobie Marketing, a leader in the loyalty industry for over 35 years and recognized as a top workplace by Forrester, is expanding its global reach with the establishment of a new Tech Hub in India. We collaborate with renowned global brands to create meaningful connections with their customers through personalized, data-driven loyalty experiences. Our mission is to enhance enterprise value through loyalty. As part of this Tech Hub, you have the unique opportunity to help shape our presence in India, contributing to the innovative customer experiences we deliver for some of the world’s most recognized brands alongside a talented team.About the Team and Our GoalsOur team specializes in extracting actionable insights from client loyalty data to drive enterprise value. We develop real-time dashboards that serve both internal and external stakeholders, ensuring data-driven decision-making.As a Senior Data Engineer at Kobie, you will be instrumental in our data engineering team, closely collaborating with the Manager of Data Engineering and the wider data organization. You will take charge of designing and evolving data pipelines and architectures that power Kobie’s products. Your extensive expertise in data modeling, architectural design, and scalable system development will help establish best practices across various Snowflake environments. You will mentor Data Engineers through the implementation process while ensuring our data platform remains secure, high-performing, and poised for future growth.

Okta’s mission centers on securing identity for both AI and human users. The company provides trusted infrastructure to help organizations manage identity safely as technology evolves. Auth0, an Okta product, offers a developer-friendly platform for authentication and authorization, streamlining secure logins for applications. The Auth0 Data Engineering team supports analytics and manages the core Data Platform. This group is organized into three areas: Pipeline Team: Handles efficient data ingestion and ensures rapid access to raw data. Warehouse Team: Models data within the warehouse, making analysis and business decisions easier. Interface Team: Oversees connections between the data platform and external systems to maintain consistent, reliable data access. Role overview The Senior Data Engineer, based in Bengaluru, reports to the Data Engineering Pipeline Team Manager. This position focuses on the reliability and performance of Auth0’s data platform, which underpins daily operations and supports growth across the organization. What you will do Take ownership of data ingestion pipelines, ensuring data flows efficiently and reliably. Work closely with platform teams and data producers to integrate new data sources. Help build scalable data solutions using modern tools and practices. Requirements Experience building and maintaining data pipelines. Ability to collaborate with technical and business teams. Proactive approach to solving complex data engineering challenges.

About 2070health 2070health builds AI-first automation platforms for the healthcare and insurance sectors. The company focuses on interpreting unstructured conversations, documents, and workflows, aiming for autonomous execution of complex business processes that typically require human input. Specialties include domain-specific Small Language Models (SLMs) and carefully fine-tuned Large Language Model (LLM) pipelines. These solutions are designed for reliability in regulated, high-stakes settings such as US Healthcare Revenue Cycle Management (RCM). The technical approach centers on deterministic AI systems, combining prompt engineering, model fine-tuning, and agentic orchestration to support enterprise automation. Role Overview 2070health seeks a Senior AI Engineer based in Bengaluru, Karnataka. This position calls for deep expertise in prompt engineering, LLM fine-tuning, and SLM development. The engineer will design, train, optimize, and deploy language models tailored to specific domains. Key work includes developing high-performance prompts for 8B-class models such as LLaMA, Mistral, and Qwen, then evolving these prompts into fine-tuned models that meet production standards for reliability. Responsibilities also cover designing prompt architectures, instruction schemas, and evaluation pipelines. The goal: ensure models produce accurate, structured, and deterministic outputs that fit enterprise automation workflows.

At ZoomInfo, we accelerate careers through a fast-paced, bold approach that empowers you to achieve your best work. You'll join a team that values collaboration, challenges each other, and celebrates achievements. Equipped with tools that enhance your impact and a supportive culture, you won't just contribute; you'll drive results.The Senior Security Engineer is a vital member of our security engineering team. This role plays a key part in advancing the organization's cybersecurity maturity by aligning business needs with security requirements across the company.Key Responsibilities:Design, implement, document, and support security solutions that align with corporate security standards, with minimal supervision.Deliver Level 3 support for security services, focusing on enhancing customer experience and reducing downtime.Identify opportunities for improvement proactively, documenting and implementing necessary changes.Evaluate current configurations, coordinate with relevant stakeholders, and execute recommended changes.Ensure compliance with industry standards, security practices, and external regulations.Assist in risk assessments, identifying security vulnerabilities and planning for their mitigation.Develop solutions that incorporate effective measures against potential security breaches as part of the organization's cybersecurity strategy.Serve as a point of escalation for junior team members, providing guidance on issue resolution and driving initiatives.

Join the Okta Family!At Okta, we are revolutionizing identity management by empowering individuals and organizations to securely access any technology, anywhere, on any device. Our innovative platforms, including the Okta and Auth0 Platforms, are designed to enhance security, streamline authentication, and facilitate automation, placing identity at the forefront of business growth and security.We value diverse perspectives and backgrounds, seeking lifelong learners who can contribute their unique experiences to our mission.Be part of a team that is building a future where identity is truly yours.About OktaOkta is committed to making the world a more secure and interconnected place by enabling organizations to embrace any technology. As the leading independent identity provider for enterprises, we collaborate with a diverse range of clients—from major corporations to innovative startups—to ensure secure connections between people and technology. Our robust AI and data capabilities are pivotal to our growth and success, powering secure and scalable products for both our customer base and employees.The OpportunityWe are on the lookout for a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will play a crucial role in developing the data infrastructure that enables our internal AI initiatives through AI-ready data. Your responsibilities will include transforming our data product vision into a secure, scalable, and sophisticated technical framework.The ideal candidate possesses a strong passion for creating high-quality data solutions. You will contribute to establishing engineering excellence within the team and ensuring our core data platform is reliable and ready to support AI-driven decision-making at Okta.What You’ll DoDesign and maintain efficient data pipelines and models on our AI data platform, leveraging tools such as Snowflake, AWS, and dbt.Implement security and governance components to uphold compliance and security standards.Develop automated solutions for data classification and access control, and support vulnerability management processes.Utilize infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to construct, test, and deploy data infrastructure with security and reliability.Promote and adhere to best practices in code quality, system design, and operational readiness.