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Tier-1 brand, popular mid-level data role, 5+ years requirement and Bangalore location drive high competition.
Data engineering skills transfer widely, but finance-specific BI and reporting focus increases domain specialization moderately.
Mandatory 5+ years plus expert Snowflake, SQL, ETL and data-product experience enforces high shortlisting strictness.
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Design, develop, and maintain scalable data pipelines, data models, and data products in Snowflake to support Finance reporting, analytics, and operations.
Serve as the primary data engineering partner for Finance BI Developers and stakeholders, translating business requirements into sustainable data solutions.
Drive adoption of data engineering best practices including data modeling standards, testing frameworks, monitoring, documentation, governance, and operational excellence.
Expert-level proficiency with Snowflake and modern cloud data warehousing concepts.
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent work experience; Master’s degree desirable.
5+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering roles.
5+ years of experience developing and maintaining ETL/ELT pipelines and enterprise-scale data solutions.
Experienced in building scalable data products for business intelligence and financial reporting in a Finance or SaaS environment.
Strong understanding of dimensional modeling, data warehousing, data quality controls, and operational best practices.
Demonstrated curiosity and working knowledge of generative AI technologies and Large Language Models in enterprise data contexts.