Senior Data Engineer

Position : Senior Data Engineer

Location : Remote – Pan India

Experience : 8–12 Years

Work Hours : 12 PM – 9 PM IST (US overlap)

Type : Full-time

Job Description

We're looking for an experienced Data Engineer who can design, develop, and optimize large-scale data pipelines and analytics solutions on AWS . You'll be working on end-to-end data flows - from ingestion and transformation to storage and analytics - ensuring performance, scalability, and cost efficiency.

Key Responsibilities

• Design and implement end-to-end data pipelines (ingestion → transformation → storage → consumption).
• Build and optimize ETL / ELT workflows using AWS Glue (PySpark) , Python , and SQL .
• Develop cloud-native pipelines using AWS services such as Glue, Athena, Redshift, Lambda, and S3.
• Optimize Redshift queries and Glue jobs for performance and cost.
• Implement data governance and security using IAM, KMS, and AWS Secrets Manager.
• Automate and orchestrate data pipelines via Lambda, Step Functions, or CI / CD pipelines .
• Collaborate with cross-functional teams including BI and Data Science.

Required Skills & Experience

Nice to Have

Airflow / Step Functions / Terraform / CloudFormation.

Experience with data lake architecture and performance tuning.

Skills Required

S3, Pyspark, AWS Glue, Data Modeling, Monitoring, Redshift, Sql, Lambda, Cost Optimization, Python, Aws, Etl