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Job Description
Structured overview of role & requirementsAbout This Role
Design and evolve data schemas, transforms, and pipelines focused on scalability and long-term performance for the Analytics platform using MS Fabric.
Optimize query performance via tuning, indexing, and database configuration to enable high-performance report and dashboard APIs.
Maintain high data availability, monitor data system health, troubleshoot incidents, and manage upgrades and migrations across environments.
Minimum Requirements
2+ years experience with MS Fabric components including One Lake, Pipelines, Notebooks, and Event streams.
2+ years experience with Spark and PySpark, with knowledge of distributed processing and data frames.
3+ years advanced SQL experience, including query tuning and execution plan analysis on SQL Server or similar RDBMS.
Work Experience Required: Minimum 2+ years relevant professional experience in data engineering roles.
Ideal Candidate Profile
Deep expertise in performance engineering, including schema design and database optimizers for high-availability architectures.
Experience working in autonomous, entrepreneurial, and fully distributed work environments.
Comfortable collaborating across Product, Engineering, and Technical Services teams to align data solutions with platform and customer requirements.