AWS Data Engineer with Sage maker

Job Description

Job Description

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

Nice-to-have