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Tier-1 brand, mid-level generalist role, metro location, and broad tech requirements increase competition.
Core data engineering skills transfer across industries, though finance domain knowledge moderately increases specificity.
Explicit 3+ years requirement plus mandatory Snowflake, SQL, Python, and dbt skills increases filtering strictness.
Develop and maintain data infrastructure for Finance reporting, analysis, and automation using SQL, Python, Snowflake, dbt, Airflow within an agile environment.
Perform data QA, develop automated testing for Snowflake data models, and ensure data quality and governance.
Collaborate with Finance BI and technical teams to translate requirements, architect data models, and drive process improvements.
3+ years of experience as an analytics, data, or BI engineer.
Advanced SQL skills with experience in large-scale relational datasets.
Proficiency with Python for data parsing and transformation.
Ability to work onsite in Pune at least 3 days per week.
Experienced in building scalable and flexible data models supporting diverse use cases and single sources of truth.
Skilled in agile frameworks and cross-functional collaboration with finance and IT stakeholders.
Comfortable working in a dynamic, fast-paced environment driving quality and process improvements.