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Tier-1 brand, popular mid-level data role, metro location and broad toolset increase applicant competition.
Core data engineering skills transfer across industries, but finance metrics and Salesforce familiarity increase domain specificity.
Explicit 5+ years and mandatory Snowflake, dbt, Airflow, Python plus finance domain skills raise screening strictness.
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Own, build, and maintain scalable, reliable data pipelines and automation frameworks for Finance data including key metrics like ACV/ARR.
Design and optimize data ingestion, transformation, and data warehouse performance using tools like Airflow, dbt, Python, Matillion, and Snowflake.
Monitor daily pipeline jobs, troubleshoot failures to ensure stability, while balancing new feature development and scaling existing systems.
5+ years of experience in data engineering, including developing complex automation frameworks and ETL/ELT processes.
Strong expertise in Python scripting and Snowflake cloud database.
Experience with modern data engineering tools such as Airflow, dbt, and scalable data pipelines in SaaS environments.
Must work from Pune office during 5 PM to 2 AM IST shift.
Experienced working in high-growth, fast-paced SaaS companies with emphasis on Finance data and metrics.
Technical hands-on with broad data engineering stack including Python, Snowflake, Airflow, dbt, and data warehouse optimization.
Able to collaborate cross-functionally to translate Finance data requirements into scalable technical solutions, balancing development and operational stability.