Overview
We are looking for passionate data engineers to join our Team.
Experience : 3 to 5 years
Work Mode & Location : Onsite /Chennai
We are seeking a highly skilled AWS Data Engineer to design, build, and optimize large scale data pipelines and analytics platforms. The ideal candidate will have strong hands-on expertise in AWS Glue, Athena, Redshift, PySpark, and SQL, with a solid understanding of data engineering and data warehousing concepts. You will work on batch and real-time data streaming solutions to enable data-driven decision-making across the organization.
Responsibilities :
Design, develop, and optimize ETL/ELT pipelines using AWS Glue, PySpark, and Spark
Build and maintain data lakes and data warehouses on AWS (S3, Redshift,Athena)
Develop and manage real-time data streaming pipelines (e.g., Kinesis, Kafka, or similar)
Write efficient SQL queries for data transformation, analytics, and reporting.
Implement data quality, governance, and monitoring frameworks
Work closely with analysts and data scientists to deliver clean, reliable, and scalable datasets .
Ensure performance tuning, scalability, and cost optimization of data solutions on AWS.
Apply strong data engineering fundamentals (partitioning, schema evolution, orchestration, job scheduling.