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Mid-level, generalist analytics engineer in Mumbai with broad cloud/data skillset increases applicant competition.
Core data engineering skills are transferable, but finance domain knowledge raises relevance modestly.
Explicit 5+ years and mandatory Snowflake, SQL, Python, Azure, Databricks requirements make filters stringent.
Manage and operate core analytics team activities including troubleshooting and ensuring day-to-day work quality.
Develop and improve cloud-based data analytics systems using skills in Snowflake, Python, SQL, and Azure.
Engage in projects and enhancements to support team and department objectives with technical solutions.
5+ years experience in data and cloud-related roles.
Strong Python skills (3+ years), confident SQL expertise (4+ years) including ETL and stored procedures.
Experience with Microsoft Azure (2+ years), Databricks (1+ year), Snowflake, and good understanding of data models.
Graduate degree required; preference for IT or Finance-related disciplines.
Independent, self-driven operator capable of managing multiple tasks and resolving production issues efficiently.
Technical problem solver with experience in cloud, data engineering, and analytics environments within financial services.
Experienced collaborator able to communicate with stakeholders, engineers, and end-users while maintaining high quality standards.