Sr AWS Data Engineer

Direct message the job poster from eBusiness Technologies Corp.

McKinney, TX

Hybrid 3 Days a week

F2F Interview

Long Term Contract

• Seeking an AWS Data Engineer (5+ years) with strong ETL development expertise and experience in modernizing legacy data ecosystems (Mainframe, SQL Server, flat files, XML/CSV).
• Proven ability to design and orchestrate large-scale data pipelines leveraging AWS Glue (PySpark/Python), Lambda, and event-driven ingestion patterns.
• Expert-level SQL with proficiency in window functions, recursive CTEs, query plan analysis, and cost-based query optimization for high-volume data transformations.
• Hands-on experience with Amazon Redshift internals – schema design, workload management (WLM), distribution/sort keys, Spectrum integration, and federated queries.
• Skilled in AWS IAM security engineering
  , fine-grained access control, and enterprise-grade data governance in multi-account environments.
• Proficiency in Python-based pipeline frameworks for modular, reusable ETL and automation of CI/CD for data pipelines
  .
• Exposure to AWS Bedrock and AI/ML services to embed predictive/Generative AI capabilities into data engineering workflows.
• Ability to architect resilient, scalable, and cost-optimized cloud-native data platforms
  , ensuring seamless migration of legacy workloads to Redshift Data Warehouse.

Mid-Senior level

Contract

Information Technology

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