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Strong employer brand, generic data-engineer title, metro location, and broad platform requirements increase competition.
Core data engineering skills transfer well across industries, so background sensitivity is low.
Senior production data pipeline and governance requirements imply moderate mandatory domain expertise, but no explicit years.
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Design, build, and operate production data pipelines and data models for enterprise analytics and operational systems.
Implement data ingestion, transformation, and storage solutions ensuring reliability, performance, and data quality across standardized data platforms.
Focus on scalable, maintainable, and governed data solutions for consistent data consumption.
Work Experience Required: Not explicitly mentioned in the JD
Mandatory technical skills: Data pipeline design, data modeling, data ingestion, transformation, and storage
Mandatory domain experience: Standardized data platform management
Degree or location requirements: Not explicitly mentioned in the JD
Experienced in managing scalable and governed data platforms in enterprise settings.
Operates with focus on data quality, reliability, and performance optimization.
Skilled in building maintainable and consistent data consumption frameworks.