Design, build, and maintain scalable data pipelines and ETL solutions using Python/Pyspark and AWS managed services. Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions. Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Role: AWS Data Engineer
Location: Reston, VA day one onsite (candidates come for in person at Herndon VA Relocation is fine )
Position Type: Fulltime
Job Description:
Seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines and ETL solutions using Python/Pyspark and AWS managed services to support analytics and data product needs.
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Key Responsibilities:
- Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms
- Orchestrate workflows with AWS Step Functions and serverless components (Lambda)
- Implement messaging and event-driven patterns using AWS SNS and SQS
- Design and optimize data storage and querying in Amazon Redshift
- Write performant SQL for data transformations, validation, and reporting
- Ensure data quality, monitoring, error handling and operational support for pipelines
- Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
- Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments
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Required Skills:
- Strong experience with Python and Pyspark for large-scale data processing
- Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions
- Solid SQLSQL skills and familiarity with data modeling and query optimization
- Experience with ETL best practices, data quality checks, and monitoring/alerting
- Familiarity with version control (Git) and basic DevOps/CI-CD workflows
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