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Mid-level, metro-based generalist data/BI role with broad Azure/Power BI skillset increases candidate density.
Power BI, Azure, SQL, and Python skills are broadly transferable across industries.
Explicit 5–8 years plus mandatory Power BI, Azure, Databricks, SQL, and Python skills create strict filters.
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Design, develop, and maintain enterprise Power BI dashboards, reports, and semantic models to enable business decision-making.
Build and manage scalable ETL/ELT data pipelines using Azure Data Factory, Databricks (PySpark/SQL), and other cloud data platforms.
Collaborate with stakeholders and data teams to optimize performance, implement security (Row-Level Security), and manage deployment pipelines and production issues.
4–6 years of experience in business intelligence, data engineering, and cloud analytics platforms; overall 5–8 years experience mentioned for qualification.
Strong expertise in Power BI (DAX, Power Query, dataset management, report optimization) and advanced SQL.
Proficiency in Python for automation and ETL scripting.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
Experience working with modern cloud data platforms including Microsoft Azure, Azure Data Factory, Databricks, Snowflake, and Azure Synapse Analytics.
Strong understanding of data warehousing concepts and dimensional modeling (Star Schema, Snowflake Schema).
Demonstrated ability to implement and manage data governance, security practices, and CI/CD in Agile environments.