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Key skills for this role
Data Architecture: Design secure, scalable, and future-proof enterprise data lakes, data warehouses, and analytics platforms on AWS.
Pipeline Engineering : Build and maintain automated, real-time, and batch ETL/ELT data pipelines using distributed processing frameworks.
Data Modeling : Create conceptual, logical, and physical data models to support reporting, advanced analytics, and machine learning initiatives.
Cloud Optimization : Monitor, troubleshoot, and optimize AWS resources for maximum performance and cost efficiency (FinOps).
Governance & Security: Implement data governance, metadata management, masking, and encryption standards in compliance with industry regulations.
Leadership & Collaboration: Mentor junior data engineers and collaborate closely with Data Scientists, Product Managers, and DevOps teams to align data solutions with business goals.
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Private Data, AI, and applications consulting company serving businesses with cloud, analytics, software development, and automation services.
Full-time
Senior · 10+ years experience
Hybrid
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