AWS Data Engineer

Summary

Builds and maintains data pipelines and ETL workflows on AWS using PySpark, AWS Glue, and serverless tools like Lambda and Step Functions.

· Strong hands-on experience with PySpark and Python for data engineering.

· Experience developing ETL pipelines using AWS Glue.

· Proficiency with AWS Step Functions for workflow orchestration.

· Experience building serverless solutions using AWS Lambda.

· Hands-on experience with Terraform for Infrastructure as Code (IaC).

· Experience implementing CI/CD pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar.

· Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.