ApplySarthiData Engineer – Airflow / SQL/Snowflake / Python
Zensar
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This role on the market
71 open snowflake roles across 20 companies are on ApplySarthi right now, most of them in Bengaluru (6), Pune (3), Mumbai (1).
- Data Engineer-Data Platforms-SnowFlakeIBM
- Senior Data Platform Engineer (m/w/d) | SnowflakeJobRad Loop
- IN_Senior Associate_Snowflake Data Engineer_GCC_Advisory_BangalorePwc · bengaluru
- Senior Snowflake EngineerJobgether
- Senior / Managing Snowflake Consultant & Data Platforms (m/w/d) - German speakingON-POINT Connect GmbH
What snowflake roles keep asking for: Snowflake (51%), AWS (42%), Python (41%), SQL (41%), Azure (34%), Data modelling (31%), Airflow (30%), ETL (30%) — counted across their open postings here.
Data Engineer jobs in Pune · Data Engineer jobs in India · Remote Data Engineer jobs · Airflow jobs · Python jobs · SQL jobs
Zensar has 215 open roles listed here.
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- Guidewire PolicyCenter Integration Developerbengaluru
- Guidewire ClaimCenter Business Analyst (GW CC BA) Cloud Experience
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for snowflake roles keep coming back to Snowflake, AWS, Python, SQL. Practise those questions before you sit with Zensar.
Questions you are likely to be asked
- Why do you want to join Zensar?
- What is your experience with Airflow? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Data Engineer – Airflow / SQL/Snowflake / Python at Zensar interview free →We are looking for a hands-on Data Engineer who can independently design, build and operate production-grade data pipelines using Apache Airflow . This is a delivery-facing engineering role: you will own complex, multi-dependency DAGs end to end from ingestion and transformation logic through to scheduling, monitoring, failure recovery and performance tuning. The ideal candidate writes production-quality Python , is genuinely strong in SQL (including analytical functions, complex joins and query optimization), and has debugged enough real pipeline failures to have opinions about idempotency, backfills and retry strategy. You will work closely with data architects, analysts and business stakeholders, and will be expected to raise the engineering standard of the pipelines you touch. B.E. / B.Tech / MCA / M.Sc. in Computer Science, Information Technology or a related discipline. Equivalent practical experience will be considered for candidates with a demonstrable engineering track record.
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Listed on oraclehcm · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.