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Tier-1 brand, mid-level Data Engineer title, common stack, and metro location drive high competition.
Core data engineering skills (Airflow, dbt, Snowflake, Python) are highly transferable across industries.
Explicit 5+ years requirement plus mandatory Snowflake, Airflow, dbt, Python and ETL experience makes shortlisting strict.
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Own and maintain scalable data pipelines integrating multiple cloud data sources focused on Finance data.
Design and optimize data ingestion and transformation using tools like Airflow, dbt, Python, Matillion, and Snowflake.
Develop automation frameworks for key Finance metrics (e.g., ACV/ARR) supporting financial close processes while ensuring accuracy and performance.
5+ years experience in developing complex automation frameworks and ETL/ELT processes.
Proficiency with Python scripting and cloud databases such as Snowflake.
Experience with data pipeline tools including dbt and Airflow and familiarity with modern data engineering practices.
Location requirement: Pune-based, Work From Office, shift timing 5:00 PM to 2:00 AM IST.
Experience working in fast-paced, high-growth SaaS environments with scalable operations.
Strong ability to translate Finance related data requirements into reliable engineering solutions.
Capable of collaborating across technical and non-technical stakeholders, including familiarity with Agile methodologies and requirement gathering.