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Metro Bengaluru role with a common Data Engineer title but niche Microsoft Fabric skills limits applicant pool.
Data engineering skills are transferable across industries, though Microsoft Fabric and lakehouse expertise increase domain specificity.
Explicit 7-10 years and mandatory lakehouse/Microsoft Fabric expertise enforce stringent shortlisting filters.
Design, build, and maintain scalable enterprise data lakehouse platforms using Microsoft Fabric with medallion architecture.
Develop, deploy, and troubleshoot reliable distributed data pipelines integrating structured and unstructured data.
Implement data quality frameworks and support AI/ML-ready data modeling for enterprise analytics and reporting.
7 to 10 years of work experience in data engineering.
Hands-on experience with data warehouses, lakehouse platforms, ETL/ELT pipelines, and data modeling using medallion architecture in Microsoft Fabric or similar.
Must work shift from 1pm to 10pm.
Familiarity with data governance, data quality frameworks, and DevOps practices in data engineering context.
Strong expertise in building enterprise-scale, AI/ML-ready data platforms with lakehouse architecture.
Proven ability to lead complex, cross-functional data engineering initiatives that impact enterprise analytics and reporting.
Comfortable working in a shift-based environment and collaborating with diverse technical and non-technical stakeholders.