Data Product Engineer For Financial Institutions
ML arteka
Join ML arteka as a Data Product Engineer focused on governed data platforms for regulated financial institutions. Drive data modeling and lineage creation while ensuring high-quality migration processes.
This role is integral for candidates with a strong background in designing data models and leading migration engagements at scale. You will establish continuous data lineage frameworks, define reconciliation processes, and implement audit traceability in compliance with governance standards. Collaborate within an embedded delivery team, contributing to daily standups and joint reviews.
Key Responsibilities: - Design data models for confirmed sources and outputs - Lead data model migration and define enrichment logic - Build continuous data lineage as a core framework - Implement reconciliation checks and audit trail infrastructure - Author test specifications and integrate data quality checks
Requirements: - Expertise in data migration and transformation in regulated environments - Experience with AWS data platforms like Aurora and S3 - Ability to explain models and lineage to diverse stakeholders - Proven history of embedding within client teams - Strong understanding of data governance and quality assurance
Elevate your career with ML arteka by designing innovative data solutions that impact financial institutions.#J-18808-Ljbffr
This role is integral for candidates with a strong background in designing data models and leading migration engagements at scale. You will establish continuous data lineage frameworks, define reconciliation processes, and implement audit traceability in compliance with governance standards. Collaborate within an embedded delivery team, contributing to daily standups and joint reviews.
Key Responsibilities: - Design data models for confirmed sources and outputs - Lead data model migration and define enrichment logic - Build continuous data lineage as a core framework - Implement reconciliation checks and audit trail infrastructure - Author test specifications and integrate data quality checks
Requirements: - Expertise in data migration and transformation in regulated environments - Experience with AWS data platforms like Aurora and S3 - Ability to explain models and lineage to diverse stakeholders - Proven history of embedding within client teams - Strong understanding of data governance and quality assurance
Elevate your career with ML arteka by designing innovative data solutions that impact financial institutions.#J-18808-Ljbffr
Vacancy posted 1 hour ago
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