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Mid-level Data Engineer in a Tier-1 firm, metro location, common tech stack and 5+ years increases competition.
Finance-focused data pipelines and CRM familiarity increase domain specificity, moderately reducing cross-industry transferability.
Explicit 5+ years requirement plus specific Snowflake/dbt/Airflow stack and finance data expectations makes screening strict.
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Own, build, and maintain scalable data pipelines connecting various cloud data sources using tools like Airflow, dbt, Python, Matillion, and Snowflake.
Develop and maintain automation frameworks for key Finance metrics (e.g., ACV/ARR) supporting Month End/Quarter End close.
Monitor daily data jobs, troubleshoot failures, and optimize data warehouse accuracy, performance, and accessibility.
5+ years of experience developing complex automation frameworks, ETL/ELT processes, and data pipelines.
Proficiency in Python scripting and experience with Snowflake or similar cloud databases.
Experience with ETL/data pipeline tools such as Airflow and dbt.
Location: Pune (Work From Office), Shift: 5 PM to 2 AM IST.
Experienced data engineer skilled in finance data sources and automation frameworks within high-growth SaaS environments.
Technical expertise in managing scalable cloud data pipelines and strong troubleshooting skills for system stability.
Ability to collaborate effectively with non-technical stakeholders and participate in requirement gathering and analysis.