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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop scalable data schemas, transforms, and pipelines for the analytics platform using Microsoft Fabric.
Optimize database performance through query tuning, indexing, and configuration adjustments for high availability and data integrity.
Manage data system operations including monitoring, incident troubleshooting, and system upgrades, collaborating closely with Product, Engineering, and Technical Services teams.
Minimum Requirements
2+ years experience with Microsoft Fabric components (One Lake, Pipelines, Notebooks, Event streams).
2+ years experience with Spark and PySpark including distributed processing and data frame management.
3+ years experience with SQL Server or similar RDBMS focusing on advanced SQL, query tuning, and indexing.
Work Experience Required: Minimum 2-3 years in data engineering roles involving performance optimization and high-availability database architectures.
Ideal Candidate Profile
Experienced in high-performance data engineering with a strong focus on data architecture and system reliability.
Comfortable working autonomously in a distributed, remote-first environment, reporting directly to senior leadership.
Expertise in integrating data engineering solutions with cross-functional teams to align with platform and customer requirements.