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Job Description
Structured overview of role & requirementsAbout This Role
Own design, development, and production deployment of data pipelines and analytics solutions using Microsoft Fabric components including OneLake, Lakehouse, Data Pipelines, Fabric Notebooks, and Power BI semantic models.
Ensure data quality, observability, and operational support for enterprise data platforms including logging, alerting, and troubleshooting.
Implement secure identity, access control, and secrets management within Azure environments for enterprise data services.
Minimum Requirements
Minimum 4 years of experience in data engineering, data platforms, analytics engineering, or closely related roles.
Hands-on experience delivering production solutions specifically with Microsoft Fabric and its key components.
Advanced development skills in Python, PySpark, and SQL including performance tuning and troubleshooting.
Experience with ETL/ELT pipeline design, Delta Lake or equivalent lakehouse patterns, and implementing security controls in Azure environments.
Ideal Candidate Profile
Experienced in building and supporting large-scale, secure enterprise data platforms on Microsoft Fabric and Azure ecosystems.
Comfortable working with cross-functional technical and business stakeholders to translate requirements into scalable data engineering solutions.
Detail-oriented with strong expertise in data pipeline observability, logging, alerting, and production support processes.