AWS Data Engineer (Only W2)
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Sign up to see compensation estimateJob Title: Senior AWS Data Engineer
Work Location : Detroit, MI-Onsite
Minimum years of experience: 8+ years
Must Have Skills: AWS, Azure Fabric, Datalake
Detailed Job Description:
- AWS Reverse Engineering & Subject Matter Expertise
• To Analyze and reverse engineering for Data models, dataflows,
• Identify source-to-target logic, transformations, joins, filters, and KPIs.
• Ensured 100% functional parity between Existing pipeline to new Fabric based solution.
- AWS Data Architecture & Design
• Understand & reverse engineer data pipelines based upon AWS S3, Glue, Lambda, Athena, Redshift, etc. (based on project setup)
• Designed and documented the entire data flow and architecture of existing AWS based data pipelines to help migration
- End-to-End Data Engineering
• Developed and automate the full data ingestion and transformation pipeline.
• Performed data modeling, schema design, and ETL/ELT implementation.
• Validated migrated datasets to match existing logic accurately.
- Project Leadership & Coordination
• Served as the single point of contact (SPOC) for the entire AWS transformation track.
• Coordinated with product owners, business stakeholders, and technical teams.
- Key Skills & Technologies
• data flows, data modelling.
• AWS Cloud – S3, Glue, Lambda, Athena, Redshift (or project-specific AWS tools)
• Data Engineering & ETL
• Data Migration & Transformation
• Solution Architecture
• Stakeholder Management & Communication
jericho@ampstek.com