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- Virginia, Minnesota, United States
- Virginia, Minnesota, United States
About
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
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 SQL 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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Languages
- English
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