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Bain-owned strong brand, metro location, and mid-level generalist data role drive high competition.
Core skills (Databricks, Python/PySpark, SQL, Tableau) are broadly transferable across industries, so low sensitivity.
Explicit 1–4 years plus mandatory Databricks, Python/PySpark, SQL and Tableau requirements increase strictness.
Design, build, and optimize scalable ETL/ELT data pipelines using Databricks, Python or PySpark, and SQL.
Develop and maintain client-ready Tableau dashboards and support data preparation and analysis using SQL and tools like Alteryx.
Support benchmarking survey execution, provide subscription customer support including custom data cuts, and contribute to process documentation and reusable templates.
1 to 4 years professional experience with Python or PySpark, SQL, and Databricks at renowned companies.
Basic experience with Tableau for dashboard building and report maintenance.
Graduate from a top-tier institute or equivalent engineering college/university.
Work Experience Required: 1 to 4 years in relevant tools and technologies.
Experience in building and automating data pipelines with familiarity of CI/CD and DevOps practices is advantageous.
Familiarity with AI/ML concepts for automating data workflows and with orchestration tools like Databricks workflows to schedule/automate pipelines.
Exposure to survey design, data processing, visualization, and client interaction to transform data insights for business impact.