Lead Engineer, Quality Engineering

Join our innovative team as a Lead Data Engineer at weekday-1, where your expertise in data architecture and engineering will play a pivotal role in driving our data initiatives. You will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and optimizing data storage solutions. Collaborate with cross-functional teams to deliver actionable insights and enhance our data-driven decision-making processes.

We are seeking an experienced IT Engineer to take on the role of Tech Lead in our Data Engineering team. This position involves leading projects aimed at optimizing data workflows and enhancing data architectures. You will work closely with cross-functional teams to ensure the seamless integration of data solutions and foster innovation within the organization.

Join Sutherland as a Lead Data Engineer, where you will spearhead data engineering efforts and drive innovative solutions. You will lead a team of skilled professionals in the design, development, and optimization of data systems. Your expertise will be crucial in ensuring the integrity and accessibility of data across the organization.

Join our dynamic team at Cermaticom as a Lead Data Engineer, where your expertise in Java will play a pivotal role in driving our data initiatives forward. You will be responsible for designing, implementing, and maintaining robust data architectures while ensuring data quality and security. Collaborate with cross-functional teams to create innovative data solutions that empower decision-making across the organization.

Join our dynamic team as a Senior Talend Developer / Lead Data Engineer at Bosch Group in Bengaluru. In this pivotal role, you will leverage your expertise in Talend to drive data integration processes and lead engineering initiatives that enhance our data infrastructure.

Join Continental as a Tech Lead IT Engineer specializing in Data Lakehouse solutions. In this pivotal role, you will lead innovative projects, manage technical teams, and drive data strategy initiatives.

Join our dynamic team at Continental AG as a Global IT Team Lead in Data Engineering! In this pivotal role, you will drive innovation and efficiency in our data engineering initiatives, leading a team of skilled professionals to optimize data solutions across our global operations.Your responsibilities will include overseeing data architecture, ensuring data quality, and implementing best practices in data management. You will collaborate with cross-functional teams to align data strategies with business objectives, thus enabling informed decision-making and fostering a data-driven culture.

About the JobIf you're eager to construct, innovate, and witness the results of your work, look no further than Skillz. Elevate your career with us!Skillz is the pioneering publicly-traded mobile eSports platform, hosting billions of casual gaming tournaments for millions of players globally. We are transforming the gaming landscape by promoting social competition within games, enabling developers to create multi-million dollar franchises, facilitating real-money transactions, and providing comprehensive operational support while uniting players through equitable, enjoyable, and significant competition.At Skillz, we cherish the excitement of achievements and the fulfillment that comes from overcoming obstacles. Are you interested in joining a team comprised of alumni from renowned companies like Apple, Amazon, Google, Microsoft, and more? Discover if Skillz is the perfect match for your next career journey!

About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

Role Overview Freshworks is looking for a Lead Data Scientist in Bengaluru. This role centers on guiding data-driven strategies and using advanced analytics to inform business decisions. The position offers the chance to work closely with teams across the company to build solutions that improve Freshworks products. What You Will Do Apply data analysis, machine learning, and statistical modeling to uncover insights that shape business direction Partner with cross-functional teams to design and implement new solutions Contribute to developing and enhancing Freshworks product offerings through data-driven approaches

Company OverviewCommerceIQ’s AI-driven digital commerce platform is transforming the way brands manage online sales. Our integrated ecommerce management solutions empower brands to make informed and rapid decisions through insights that enhance digital shelf performance, boost retail media ROI, and drive incremental sales across major marketplaces worldwide. With a vast network connecting over 900 retailers, our comprehensive platform assists more than 2,200 of the world’s leading brands in optimizing marketing, supply chain, and sales operations to profitably expand market share in over 50 countries. Ten of the top twelve CPG brands collaborate with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. We have secured over $200 million from leading investors such as SoftBank, Insight Partners, and Madrona. Discover more at commerceiq.ai.

About UsAt Rox Data Corp, we are dedicated to empowering individuals to excel in their work.Our innovative platform equips sales professionals with autonomous revenue agents that handle manual tasks, allowing them to concentrate on what they do best: selling. Just as coding agents revolutionized engineering, our revenue agents enhance customer engagement.We are redefining the revenue stack by creating the world’s first revenue operating system, encompassing everything from the application layer to the system of context. At Rox, we envision a future where humans act as orchestrators while agents efficiently manage the entire customer lifecycle.Rox serves Global 2000 leaders across various sectors including banking, hardware, construction, and sovereign AI, along with prominent AI enterprises like Ramp and Cognition.Our success is grounded in a shared mission and an unwavering commitment to transforming this vision into reality.The TeamOur world-class team is the backbone of our innovations and progress.Team members have:Founded and successfully exited multiple companiesHeld top-tier positions at esteemed organizations such as Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are supported by top-tier investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We ensure that every detail is meticulously crafted, creating not just functional but enjoyable interactions for our users. We are driven to refine and enhance every aspect of our product continuously.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs swiftly and proactively delivering value. Our commitment to learning and improving is relentless.Action: Get it done.Execution sets us apart. We prioritize thoughtful decision-making and immediate delivery, fostering trust through our actions.

Lead Software Engineer – BackendJoin our dynamic Data Layer team at Zeta Global, where we're at the forefront of data innovation. As a Lead Software Engineer, you will play a pivotal role in developing and maintaining our Zeta Identity Graph platform, which aggregates billions of behavioral, demographic, environmental, and transactional signals to enhance people-based marketing strategies.Your key responsibilities will include:Ingesting extensive identity and event data from our clients and partners.Facilitating seamless data transfers across various systems.Ensuring the integrity and health of our datasets.Designing and expanding our data infrastructure for easy access and complex analyses.Utilizing technologies such as Python, Spark, Airflow, Snowflake, Hive, Scylla, Django, and FastAPI, you will maintain data quality and accuracy while collaborating with Data Engineers, Analysts, and Product Managers to optimize data models and workflows. Furthermore, you will engage with our DevOps team to enhance our data infrastructure.Participate in architecture discussions, influence the roadmap, and take ownership of new projects while being available for on-call rotation in your respective time zone.

Join Acceldata in Transforming Data Observability!Acceldata is at the forefront of data observability, redefining how organizations oversee and manage their data. Our innovative platform provides deep insights into critical data aspects, pipelines, and infrastructure across diverse environments. We empower data teams to enhance product management through improved data quality, failure prevention, and cost control.Position: Lead Platform EngineerAs a Lead Platform Engineer, you will be responsible for developing internal tools, enhancing Linux CLI applications, and extending Go-based tools through plugins. Additionally, you will create web applications to connect these tools with customer APIs and services.Your Daily Responsibilities Will Include- Developing and enhancing Linux command-line applications for various Acceldata product offerings (e.g., tools akin to kubectl, docker-cli, and aws-cli).- Extending existing internal tools built in Go by creating various plugins (e.g., plugins to enhance functionalities of Telegraf, Filebeat, etc.).- Building web applications that integrate internal tools with customer APIs/services.Ideal Candidate Profile - 6-10 years of professional experience.- Strong hands-on experience with Go programming language, including its paradigms, constructs, and idioms.- Familiarity with Golang frameworks such as Cobra, Gin, or HashiCorp's Go-Plugin.- Understanding of Go-specific data structures, algorithms, and RESTful web services.- Experience with relational and non-relational databases.- Knowledge of DevOps tools like Docker and Kubernetes is a plus.- Proficiency in Linux and system application development.Bonus Qualifications- Experience with Big Data Systems or Hadoop components.

* Design, implement, and maintain robust data ingestion pipelines that are secure and scalable, sourcing data from diverse systems such as SAP, Salesforce, SharePoint, APIs, and legacy manufacturing platforms.* Develop and enhance metadata-driven services to facilitate discoverability, access governance, and operational transparency of enterprise data.* Act as a technical authority and cross-functional facilitator for the acquisition, quality, and compliance of both structured and unstructured data.* Establish and oversee comprehensive data quality management, including monitoring and reporting.* Contribute to a global data engineering team that supports all major business domains.* Spearhead the ingestion and metadata service implementation for over 100 enterprise data sources.* Collaborate with IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable data delivery.Main Responsibilities:▪ Construct and maintain extraction services using Python or Scala (e.g., Debezium Server, custom APIs, rclone).• Implement Change Data Capture (CDC), delta, and event-based patterns.• Facilitate push-based HTTP and Kerberos-authenticated DLT delivery.• Establish, operate, and troubleshoot SAP extraction using tools like Theobald Extract Universal.• Integrate with systems such as Salesforce, SharePoint, and other API or file-based endpoints.▪ Develop a user-friendly, web-accessible data catalog application, featuring dataset profiles, metadata, and usability enhancements.▪ Integrate dataset discoverability, preview/exploration features, and lineage information using Unity Catalog as a backend metadata system.▪ Design and implement structured access request workflows encompassing submission, approval chains, audit trails, and enablement triggers.• Conduct design reviews with the Cybersecurity team.• Ensure proper documentation and compliance for all interfaces and data ingress points.• Manage audit and traceability requirements.• Collaborate with IT and business users to translate requirements into scalable technical solutions.• Serve as a technical escalation point for complex source integration challenges.▪ Define and execute a multi-layered data quality framework, incorporating unit-level, integration-level, and cross-pipeline validation rules.▪ Establish centralized, version-controlled storage of Data Quality (DQ) rules, integrating them into orchestration and CI/CD pipelines.▪ Implement automated DQ monitoring with varying severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining mechanisms at relevant pipeline stages.▪ Work closely with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.

Join our innovative team at Continental as a Data Engineering IT Engineer, where you'll play a crucial role in driving our data initiatives. In this position, you will design, develop, and maintain robust data pipelines and architectures that support our advanced analytics and business intelligence goals. Collaborate with cross-functional teams to ensure data quality and integrity while leveraging cutting-edge technologies to enhance our data-driven decision-making.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe invite you to join our dynamic data engineering team as a proficient Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be tasked with architecting, developing, and sustaining robust data pipelines that guarantee exceptional data quality and accessibility throughout the organization. Your expertise in big data ecosystems, cloud-native technologies, and sophisticated data processing methodologies is essential.The ideal candidate will possess extensive hands-on experience in data ingestion, transformation, and optimization on the Cloudera Data Platform, complemented by a strong history of applying data engineering best practices. You will collaborate closely with fellow data engineers to devise solutions that foster significant business insights.Key ResponsibilitiesDesign and develop scalable ETL pipelines using PySpark on CDP, ensuring data integrity.Manage data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or warehouse on CDP.Utilize PySpark for processing, cleansing, and transforming vast datasets to meet analytical and business needs.Optimize performance by fine-tuning PySpark code and Cloudera components to enhance resource utilization.Establish data quality checks and validation routines to maintain data accuracy throughout the pipeline.Automate workflows using orchestration tools like Apache Oozie or Airflow within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and maintain the Cloudera Data Platform and associated processes.Collaborate with data engineers, analysts, product managers, and other stakeholders to understand data requirements.Document data engineering processes, code, and pipeline configurations thoroughly.QualificationsBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.3+ years of experience as a Data Engineer, focusing on PySpark and the Cloudera Data Platform.

Join Continental as a Data Engineering IT Engineer in our innovative team in Bengaluru. In this role, you will be responsible for designing and implementing data solutions that drive business intelligence and analytics. You will work closely with cross-functional teams to enhance data architecture and ensure data integrity, enabling data-driven decision-making across the organization.Your expertise in data processing and engineering will be crucial as you develop scalable data pipelines and optimize data workflows. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact on our technological landscape.

Position: Big Data Lead & DeveloperExperience: 8-10 yearsLocation: BengaluruIndustry: TelecommunicationsEmployment Type: Full-time Visa Sponsorship: Available for on-site client workCore Competency: In-depth knowledge of the data management landscape with a strong grasp of core Big Data design patterns and challenges in data analytics, modeling, quality improvement, and data management implementation. Proficient in technologies such as Hadoop, Spark, Amazon Web Services, Google Cloud Platform, and Microsoft Azure.Position Overview: The Big Data Lead will spearhead the design and development of scalable and distributed applications utilizing the Hadoop Technology Stack, including Apache Pig, Apache Hive, and HDFS.Key Responsibilities:Develop cutting-edge ICT big data solutions that integrate existing systems with new data analytics strategies.Design, test, deploy, and document Big Data platforms and analytical procedures.Deliver scalable and distributed applications utilizing Hadoop technologies.Provide efficient solutions based on project requirements.Implement Map/Reduce jobs, UDFs, and tune the performance of Hadoop jobs.Collaborate with data scientists, analysts, and product management to summarize data analysis results for business decision-making.Document functional processes within data quality applications.Research and assess the suitability of various technologies to advise on optimal project solutions.