AWS Data Engineer with Sage maker
iSoftTek Solutions IncReston, VA, USjob_description.job_card.1_day_ago
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job_description.job_card.job_descriptionAWS 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 Familiarity with AWS ECS Experience with Aurora PostgreSQL Java for tooling or pipeline components
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
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Data Engineer Aws • Reston, VA, US