Top Data Engineer Jobs in Chennai

Design, develop, and maintain high-performance ETL solutions using SSIS and T-SQL; integrate diverse data sources; use C# and Regex for transformations; monitor QA/UAT/Production ETL jobs; implement data quality and DevOps pipelines; collaborate with stakeholders and improve ETL best practices.

Design, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

The Data Engineer will design and implement data solutions using GCP services, focusing on big data processing, ETL/ELT processes, and analytical problem-solving.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

Lead the design and development of complex backend systems, focusing on architecture and implementation while mentoring engineers and integrating AI solutions.

The GEN BI Engineer will design and deliver innovative BI solutions, collaborate with stakeholders, and build scalable systems using data for strategic decisions.

Design, develop, and maintain data solutions by building data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. Collaborate with cross-functional teams and contribute to data architecture and strategy, becoming an SME.

Design, develop, and maintain scalable data solutions and ETL pipelines. Ensure data quality, model databases, collaborate with cross-functional teams, mentor juniors, and drive technical decisions to support reliable data movement and warehousing across systems.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, and ensure data quality for effective data processing.

As a Data Engineer, design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes to efficiently manage data across systems.

Design, develop, and maintain data solutions by creating data pipelines and ensuring data quality. Implement ETL processes for effective data management.

As a Data Engineer, you will design, develop, and maintain data solutions, ensuring data quality while implementing ETL processes and collaborating with cross-functional teams.

As a Data Engineer, design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes to optimize data management.

As a Data Engineer, you'll design, develop, and maintain data solutions, create pipelines, ensure data quality, and implement ETL processes.

Design and build scalable data pipelines, ETL, and streaming ingestions; model and transform large-scale data; enable secure data access; optimize platform cost and automation; lead design and mentor colleagues.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

Design, build, and oversee technology architectures for data management and programming leveraging cloud solutions and big data techniques. Collaborate with business partners to define data solutions and optimize processes.

Design, build, test, and deploy Python-based data migration, profiling, and processing solutions. Implement scalable PySpark pipelines, optimize SQL (Oracle) queries, integrate via JDBC, and handle streaming (Kafka/Spark Streaming). Collaborate with architects and stakeholders, perform data analysis with Pandas, ensure data integrity, and troubleshoot pipeline performance and quality issues.

Design, develop, and maintain Big Data solutions for Disability & Absence products. Collaborate with teams to improve existing solutions and create automation scripts.

The Data Engineer III will design and build ETL pipelines, data lakehouse solutions, and enhance data architecture while ensuring data quality and integrity.

Design and develop ETL pipelines, optimize data architecture, collaborate with data scientists to prepare data, and validate data quality.

Design and oversee data architecture and solutions, manage data pipelines, and ensure data quality and reliability. Works with data teams to enhance data assets for analysis.

As a Data Engineer, you'll drive customer value by building data solutions, optimizing data architecture, and collaborating closely with teams to enhance data usage and quality.