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Metro location, popular platform/data role, and broad skill requirements drive high competition.
Data platform engineering skills are broadly transferable across industries.
Requires domain-specific data platform expertise though no explicit years or certifications are listed.
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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.
Focus on scalable, maintainable, and governed data solutions enabling consistent data consumption.
Work Experience Required: Not explicitly mentioned in the JD
Experience with building and operating production data pipelines and data models
Technical skills in data ingestion, transformation, and storage solutions
Knowledge of standardized data platforms with a focus on scalability and maintainability
Experienced in platform or DevOps roles with strong data pipeline and data modeling expertise
Able to deliver reliable and high-performance data solutions in enterprise environments
Familiar with governance and standardization principles for data platforms