AWS Data Engineer (Only W2)

Job 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: 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. 1. 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 1. 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. 1. 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. 1. 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