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Mid-level, generalist data role in Pune with broad Fabric/Python/pipeline requirements drives high applicant competition.
Requires data engineering and Fabric-specific expertise, moderately reducing cross-industry transferability.
Explicit 5+ years, mandatory Fabric/Python/cloud stack, and leadership responsibilities make shortlisting highly strict.
Own end-to-end data engineering and analytics efforts including modeling, deployment, and performance tuning using Python, SQL, Microsoft Fabric, and cloud data platforms.
Lead and mentor teams in scalable data pipeline design, data governance, and automation initiatives integrating GenAI to optimize financial reporting and analytics.
Collaborate cross-functionally to drive strategic data initiatives, ensure data integrity, and promote advanced analytics adoption within business units.
Bachelor's degree in Data Science, Computer Science, or related quantitative field; Master's preferred.
5+ years of experience in data analytics/engineering with proven leadership or mentorship in data engineering.
Proficient in Python/PySpark, SQL, data pipelines (e.g., Apache Airflow, Azure Data Factory, Microsoft Fabric), and cloud platforms (Fabric or AWS).
Experience with data governance, CI/CD, DevOps practices, and large-scale data integration tools like Snowflake or Synapse.
Experienced leader in data engineering with hands-on skills architecting scalable cloud data solutions and guiding junior engineers.
Strategic operator with strong expertise in integrating generative AI into analytics workflows to automate and enhance financial data processes.
Effective cross-functional collaborator capable of translating complex technical requirements into business solutions and driving enterprise-wide data governance adoption.