Senior AWS Data Engineer

About the role

Data Engineering team at EXL builds scalable data pipelines and cloud data platforms on AWS. The Senior AWS Data Engineer designs, develops, and maintains data lakes, warehouses, and serverless ingestion workflows, collaborating with data scientists and analysts to deliver robust solutions. Remote work from India, relocation assistance available.

What you’ll do

• Design and implement efficient, reusable data pipeline architectures on AWS
• Build robust ingestion pipelines using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS
• Develop and manage ETL/ELT processes ensuring data quality and security
• Architect end-to-end data solutions focusing on data lakes and warehouses
• Participate in high‑scale system design discussions and code reviews
• Implement serverless applications and CI/CD strategies for data platforms
• Collaborate with product, operations, QA, and cross‑functional teams
• Optimize performance, cost, reliability, and scalability of data systems

What you’ll bring

• Bachelor's degree in Computer Science or related field
• 5+ years AWS data engineering experience
• Proficiency in Python, Shell scripting, SQL
• Strong knowledge of AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager
• Experience with serverless application development and data pipeline orchestration
• Expertise in ETL/ELT processes and data modeling

Skills

Education

Bachelor's Degree