Job Title: Senior AWS |Azure Fabric Data Engineer
Work Location & Reporting Address: Detroit, MI
Onsite Hybrid (10 days onsite per month)
Contract duration: 12 months
Job Details:
Minimum years of experience required: 8+ years
Must Have Skills: AWS, Azure Fabric, Datalake
Detailed Job Description: 1. 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.
2. 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
3. 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.
4. 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.
5. 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
6. Professional Strengths
Independence and ownership of complex transformation tracks
High commitment to quality, deadlines, and smooth project execution
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