AWS Azure Senior Data Engineer

Work Location & Reporting Address: Detroit, MI Is this a full remote/hybrid/full onsite set-up? Onsite Hybrid (10 days onsite per month) Contract duration: 12 months Does this position require Visa independent candidates only? Yes Interview Process (Is face to face required?) Video interview is fine.

Job Details

Minimum years of experience required: 8+ years Certification needed: Not mandatory 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

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.