Data Engineer

Role: Data Engineer

Work Mode: Hybrid

Work timings: 2pm to 11pm

Location: Chennai & Hyderabad

Primary Skills: AWS Data Engineer

Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.

Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.

Create and manage applications using Python, SQL, Databricks, and various AWS technologies.

Automate repetitive tasks and build reusable frameworks to improve efficiency.

AWS Data Engineer

Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.

Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.

Create and manage applications using Python, SQL, Databricks, and various AWS technologies.

Automate repetitive tasks and build reusable frameworks to improve efficiency.

Skill Proficiency Level expected

AWS Data Engineer - AWS Glue, Amazon Redshift, S3

ETL Process, SQl, Databricks

Schedule: Full-time

Travel: No