Manager – AWS Data Engineer, Advisory

Overview

As a Manager – AWS Data Engineer in Advisory, design, develop, and maintain data infrastructure, pipelines, integrations, and transformation solutions that enable efficient data processing and analysis for clients.

What you'll do

• Design, develop, and maintain ETL/ELT pipelines using AWS services including Glue, Lambda, Step Functions, Data Pipeline, and EMR.
• Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake if applicable.
• Implement and manage data ingestion frameworks from structured and unstructured data sources, including APIs, RDBMS, and streaming.
• Ensure data quality, integrity, and security using tools including AWS Lake Formation, IAM, and KMS.

What you'll need

• 7-11 years of experience.
• B.Tech, M.Tech, MBA, or MCA.
• Master of Engineering or Bachelor of Engineering.
• Strong proficiency in SQL, Python, and PySpark.
• Expertise in the AWS data ecosystem, including Glue, Redshift, S3, Lambda, EMR, and Athena.
• Required skill: QA Automation.

Nice to have

• AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.

Details

• Location: Bengaluru Millenia.
• Travel requirements: Not specified.
• Work visa sponsorship is not available.
• Government clearance is not required.