Sr. Data Engineer

Must-Have Skills

7-10 years of AWS Data Engineering experience.

Strong experience in AWS Glue PySpark and data processing on S3

Proven expertise in ETL development and complex data transformations

Hands-on experience with AWS Step Functions, EventBridge, and orchestration patterns

Proficiency in Terraform Infrastructure as Code

Strong SQL and data modeling skills

Experience with data validation, reconciliation, and quality frameworks

Solid understanding of IAM, security, and cloud best practices

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Nice-to-Have Skills

Familiarity with Lake Formation and data governance frameworks

Experience with DynamoDB or metadata-driven ETL architectures

Exposure to event-driven architectures

Knowledge of CICD tools