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Senior, niche data engineering role at a known financial firm reduces applicant density but still attracts qualified candidates.
Core data engineering skills transferable, but financial audit and controls preference increases industry specificity.
Explicit 10–14 years and mandatory Databricks, Python, SQL, Power Platform requirements.
Lead end-to-end automation solutions to reduce manual effort, strengthen controls and speed business processes.
Engineer reliable data pipelines and automate workflows to modernize management reporting with scalable, production-ready analytics.
Partner with stakeholders to deliver high-impact analytics and continuously improve solution quality using Python, SQL, Databricks, and Microsoft Power Platform.
10–14 years of data engineering or analytics experience working with large datasets.
Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Financial Engineering, Economics, Finance, Mathematics, or a related quantitative field.
Advanced proficiency in Python, SQL, Databricks, Power BI, and Microsoft Fabric (Power Apps, Power Automate).
Location: Based in Pune, India.
Experienced in building automated reporting and visualization solutions with strong data engineering skills focused on reliability and scalability.
Skilled at managing automation projects end-to-end, balancing technical delivery with stakeholder engagement and cross-functional collaboration.
Background or familiarity with financial services, risk controls or audit environments preferred, given domain relevance.