Data Engineer

• 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. • Must have AWS Certified Data Engineer certification.