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Tier-1 brand, mid-level (3+ years), and Pune metro raise competition.
Core analytics skills are transferable, but finance domain specificity raises fit sensitivity to medium.
Explicit 3+ years and mandatory SQL/Python/Snowflake/dbt/Airflow skills enforce strict filters.
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Develop and maintain data infrastructure for Finance reporting, analysis, and automation using SQL, Python, Snowflake, dbt, Airflow.
Perform data QA, build automated testing procedures, and architect flexible data models supporting diverse Finance use cases.
Collaborate with Finance BI and technical teams to define requirements, drive data governance, and improve processes within Analytics Engineering.
3+ years experience as an analytics, data, or BI engineer.
Advanced SQL skills with experience in building data infrastructure for large-scale relational datasets.
Experience using Python for data parsing, structuring, and transformation.
Must attend Pune office at least 3 days per week (in-person requirement).
Experienced in using MPP databases including Snowflake, Redshift, or BigQuery in production environments.
Strong at translating complex Finance reporting requirements into data model specifications and building single sources of truth.
Effective communicator comfortable working with diverse stakeholders in agile settings and driving continuous improvements in data and process quality.