Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Generalist mid-level Data Engineer role with broad skills in metro markets, high candidate density.
Core data engineering skills are highly transferable across industries despite domain-specific product mentions.
Requires specific data engineering and cloud skills but lacks explicit years, so moderate filtering.
Develop and maintain enterprise-scale data products and pipelines that support reporting, analytics, automation, and GenAI across multiple business domains.
Apply Data-as-a-Product principles to create reusable, discoverable, and governed data assets with metadata, lineage, and quality controls enabling self-service and consistent outcomes.
Collaborate with cross-functional teams including Product Managers, Data Scientists, and Engineers to deliver AI-ready, reliable, and optimized data solutions.
Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and transformations using modern data platforms and cloud technologies.
Working knowledge of data modeling, SQL, data quality, metadata management, and enterprise data governance.
Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Has experience with Data-as-a-Product operating models including data catalogs, lineage, and quality frameworks.
Has exposure to AI/ML or GenAI initiatives, especially in preparing AI-ready datasets and semantic data models.
Operates effectively in Agile, cross-functional teams involving product, engineering, analytics, and business stakeholders.