AWS Data Engineer Sage maker

Overview

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, Red Shift, Glue, and automation using CI/CD and scripting.

• 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 Red Shift schemas, queries, and Spectrum for external table access.
• Integrate machine learning workflows with Sage Maker and Lambda-driven orchestration.
• Automate deployments and testing using CI/CD tools and source control (Jenkins, UCD, Bitbucket, Git Hub).
• Create and maintain operational scripts and tooling (Shell, Python) for monitoring, troubleshooting, and performance tuning.

• AWS services (EMR/Sage Maker , Lambda, Red Shift, 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 Git Hub
• Experience building and maintaining scripts/tools for automation

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