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.