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Mandatory Investran expertise and Snowflake specialization reduce candidate pool despite Bangalore location.
Requires direct Investran and private-equity domain knowledge, limiting cross-industry transferability.
Explicit 8–12 years plus mandatory direct Investran and Snowflake skills create rigid screening filters.
Lead architecture, design, and implementation of enterprise-scale Snowflake data solutions for financial applications, including ingestion, transformation, storage, and consumption.
Own technical leadership duties such as performing code reviews, mentoring teams, troubleshooting complex production issues, and ensuring data quality and security compliance.
Directly manage and analyze Investran data pipelines and integrations, supporting private equity and investment management financial data requirements.
8–12+ years of overall experience in database, data engineering, BI or enterprise data platforms.
Minimum 4+ years of strong hands-on Snowflake experience and expert-level SQL skills including performance tuning.
Mandatory direct hands-on experience with Investran, including its database structures, integrations, and financial data.
Location: Bangalore / Chennai (Onsite / Hybrid).
A hands-on technical leader capable of independently designing and implementing Snowflake architectures specifically for financial applications involving Investran data.
Strong domain expertise in Financial Services, Private Equity, and Investment Management data and processes.
Experience integrating Snowflake with enterprise BI tools and maintaining production support with a focus on security, governance, and cost optimization.