AWS Data Engineer with Sage maker

Role: AWS Data Engineer with Sage maker
Location : Reston, VA (Day 1 onsite – 5 days in a week)

We are seeking a motivated Senior Data Engineer with strong AWS and data platform experience to design, build, and operationalize scalable data processing and ML-ready pipelines. The ideal candidate will be hands-on with PySpark, RedShift, Glue, and automation using CI/CD and scripting.

Key Responsibilities

• Design and implement scalable ETL/ELT pipelines on AWS for batch and near-real-time workloads.
• Build and optimize data processing jobs using PySpark on EMR and Glue.
• Develop and manage RedShift schemas, queries, and Spectrum for external table access.
• Integrate machine learning workflows with SageMaker and Lambda-driven orchestration.
• Automate deployments and testing using CI/CD tools and source control (Jenkins, UCD, Bitbucket, GitHub).
• Create and maintain operational scripts and tooling (Shell, Python) for monitoring, troubleshooting, and performance tuning.

Must-have Skills

• AWS services (EMR/SageMaker , Lambda, RedShift, Glue, SNS, SQS)
• PySpark and data processing frameworks
• Shell scripting and Python development
• CI/CD tooling experience (Jenkins, UCD)
• Source control experience with Bitbucket and GitHub
• Experience building and maintaining scripts/tools for automation

Nice-to-have

• Familiarity with AWS ECS
• Experience with Aurora PostgreSQL
• Java for tooling or pipeline components