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AWS Data EngineerDiverse LynxUnited States
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AWS Data Engineer

Diverse Lynx
  • US
    United States
  • US
    United States

Über

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.
  • United States

Sprachkenntnisse

  • English
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