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Metro mid-level generalist BI role with common Databricks/PowerBI skills increases candidate competition.
BI and Databricks skills are transferable, though SAP/MES familiarity biases manufacturing/ERP suitability.
Explicit years plus mandatory Databricks, Power BI, and DAX skills create strict shortlisting filters.
Own end-to-end data lifecycle including building scalable data pipelines on Databricks and delivering interactive Power BI dashboards.
Engineer data pipelines integrating complex enterprise sources like SAP and MES with Databricks ensuring data governance, integrity, and cost control.
Develop high-performance Power BI semantic models, author complex DAX calculations, implement dynamic security frameworks, and drive BI adoption through user training.
3–5 years experience in building and running Data Platforms and Business Intelligence reporting.
At least 4 years hands-on experience with Databricks, Spark (PySpark/SQL), and cloud data warehouse ecosystems (Azure, AWS, or GCP).
Bachelor’s or Master’s degree from Tier-1/2 institute (IIT / NIT / BITS or equivalent).
Strong understanding of SAP data structures and MES transactional data mapping, and expert-level Power BI skills including advanced DAX and star-schema modelling.
Experience bridging backend data engineering (Databricks, Spark) and frontend analytical storytelling (Power BI).
Comfortable managing complex enterprise data integrations (SAP, MES) with focus on data governance and performance optimization.
Skilled in designing semantic layers and security models for scalable, self-service BI environments supporting diverse business functions.