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
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