Top Data Engineer Jobs in Chennai

As an Associate Big Data Engineer at MetLife, you will support the implementation of data ingestion processes using various Big Data tools, maintain ETL code, monitor performance, and ensure data security while collaborating with cross-functional teams on data enablement solutions.

The Data Engineer will develop testing frameworks and automate data validation processes to ensure robust data pipelines and platform performance. Responsibilities include optimizing workflows using Apache Spark, collaborating with QA and DB specialists, and implementing monitoring solutions to resolve data processing issues.

The Data Engineer will focus on designing, automating, and optimizing ETL pipelines while ensuring integration with Snowflake and PostgreSQL, collaborating with cross-functional teams, and implementing best practices for data transformation and quality monitoring.

The GCP Data Engineer will work with Google Cloud Platform, specifically utilizing Big Query and Data Flow. Responsibilities include designing and implementing data pipelines, ensuring data quality, and collaborating with cross-functional teams to support data-driven decision-making.

As a Senior Data Engineer at Walmart, you will develop scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams globally to optimize data workflows.

The Data Engineer will work on the 'Buy Now Paylater' product, focusing on migrating, developing, testing, and deploying new features as PayPal expands into new regions. Responsibilities include understanding requirements, collaborating with the team, designing solutions, and implementing enhancements to improve efficiency.

As a Data Engineer, you will develop and deploy machine learning models, work closely with Data Scientists, and create data processing pipelines using PySpark and AWS. Responsibilities include managing ETL workflows, optimizing pipelines, and ensuring good data access management.

As a Data Engineer III at Zuora, you'll leverage AI technologies to enable monetization, build end-to-end ML models, maintain data pipelines, and collaborate with stakeholders to drive results. You will have end-to-end ownership of deploying ML models and influence business strategy using data-driven insights.

As a Data Engineer, you will create data-driven solutions for leading financial institutions by collaborating with internal teams and clients. You will handle data extraction, analysis, and integration using Demyst's proprietary Python library and AWS infrastructure. Responsibilities include designing scalable code, managing production releases, and supporting clients globally.

The Data Engineer will create and maintain optimal data pipeline architecture, assemble complex data sets, identify and implement process improvements, and build infrastructure for data extraction and loading. The role involves working with cross-functional teams to optimize data systems and ensure data security across multiple regions.

As a Data Engineer, you will design and implement scalable ingestion frameworks and data pipelines on Google Cloud Platform, engaging with stakeholders to understand business needs and translating them into technical specifications. You will also ensure the security, governance, and efficient processing of both structured and unstructured data.

The Data Engineer role involves working with technologies such as Databricks, Pyspark, Azure Data Factory, Azure Datalake, Python, and SQL. Candidates should have a minimum of 4 years of experience and will be involved in data engineering and modernization projects.

The Data Engineer will develop scalable data pipelines and collaborate with business teams to derive insights from data. Responsibilities include building data models, delivering analytics solutions, and solving complex business problems using cloud technologies.

As a Data Engineer, you'll be responsible for designing and implementing data pipelines using Spark and Scala while ensuring data quality, optimizing workflows, and integrating data solutions that meet business needs. You'll collaborate with teams to build efficient data processing systems and support data analysis efforts.

As a Data Engineer 3, you will analyze, design, and code while focusing on ETL engineering within the Credit Engineering Team at PayPal. Your role will involve collaborating with cross-functional teams to meet complex business requirements, planning projects, solving problems creatively, and mentoring junior staff. You will utilize your skills in data technology and warehousing to deliver scalable solutions in an agile setting.

The Data Engineer will collaborate with various teams to implement data management and security solutions, improve telemetry services, manage data architecture, perform threat analysis, ensure compliance, conduct risk assessments, and train stakeholders. This role requires strong data engineering skills and expertise in cloud environments.

The Sr Cloud Data Engineer will lead data integration initiatives, collaborate with various stakeholders to ensure data alignment, and develop data management standards. Responsibilities include creating and reviewing data deliverables and developing and managing data pipelines and warehouse technologies.