Job Description
Senior Data Engineer (AWS Data Platform) / Team Lead – 8+ Years Experience
We are looking for a highly skilled Senior Data Engineer to lead a team of 5–10 engineers and drive scalable data platform initiatives across AWS-based environments. The ideal candidate should have strong expertise in SQL, Amazon Redshift, DynamoDB, batch reporting systems, workload management (WLM), and modern data engineering best practices.
Key Responsibilities
- Lead and mentor a team of data engineers in designing and delivering scalable data solutions.
- Design, develop, and optimize ETL/ELT pipelines and batch reporting workflows.
- Manage and optimize Amazon Redshift clusters, including WLM configuration, query tuning, and performance optimization.
- Work extensively with SQL, DynamoDB, and AWS data services.
- Build and maintain on-demand and scheduled reporting solutions.
- Collaborate with cross-functional teams including Analytics, Product, and DevOps.
- Ensure data reliability, scalability, governance, and operational excellence.
- Support CI/CD pipelines and follow DevOps best practices for deployments and monitoring.
- Participate in architecture discussions and contribute to cloud infrastructure decisions.
Required Skills
- 8+ years of experience in Data Engineering/Data Warehousing.
- Strong hands-on expertise in SQL and Amazon Redshift.
- Good understanding of Redshift WLM, query optimization, partitioning, and performance tuning.
- Experience with DynamoDB and AWS ecosystem (S3, Lambda, Glue, CloudWatch, IAM, etc.).
- Experience handling batch reports, on-demand reports, and large-scale data processing.
- Basic understanding of AWS infrastructure and DevOps practices.
- Strong leadership and stakeholder management skills.
- Experience working in Agile/Scrum environments.
