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Metro Bengaluru, mid-level generalist Data Engineer title, Azure/Fabric skills and broad requirements increase competition.
Platform-specific Microsoft Fabric and Azure requirements limit cross-industry transferability.
Requires 5+ years and specific Microsoft Fabric/Azure experience, making filters stringent.
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Design, build, and support Microsoft Fabric and Azure data engineering solutions including lakehouse, warehouse, orchestration, and semantic modelling patterns.
Own substantial engineering workstreams from design through deployment and production support within Agile teams, ensuring testable, secure, and maintainable solutions.
Mentor junior engineers and promote good engineering practices, conducting code reviews and contributing to architecture decisions.
5+ years as a Data Engineer Consultant Senior with hands-on experience delivering Microsoft Fabric data engineering solutions.
Strong skills in SQL development and optimization; experience with Python or PySpark for ETL/ELT pipelines and data integration.
Experience with Azure data services (Azure Data Lake Storage, Azure Data Factory) and familiarity with data warehousing, data lakes, dimensional modelling, and analytical data models.
Work Experience Required: 5+ years. Notice period: Not explicitly mentioned in the JD.
Experienced in managing complete technical workstreams in Agile delivery environments with strong stakeholder communication and risk identification.
Proficient in implementing security, data governance, automated testing, CI/CD, and production support practices for data solutions.
Comfortable mentoring peers and leading through practical engineering leadership and promoting reusable patterns and standards.