Data Engineer
Zensar
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This role on the market
9,420 open data roles across 953 companies are on ApplySarthi right now, most of them in Bengaluru (509), Hyderabad (334), Mumbai (159).
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- Lead Principal Data Center Facilities Development Manager - DC Infrastructure DeliveryOracle
What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.
Data Engineer jobs in India · Remote Data Engineer jobs · Airflow jobs · ETL jobs · SQL jobs
Zensar has 278 open roles listed here.
- Quality Assurance Analyst - Advanced
- Guidewire Technical Architect
- Agentic AI Engineerpune
- Guidewire ClaimCenter Developer
- Monitoring-Operations Support-Infrastructure Monitoring
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. 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.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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 at Zensar interview free →Key Responsibilities Design, develop, and support batch and incremental data ingestion pipelines into the data lake. Develop and optimize complex SQL queries, data transformations, and ETL workflows. Build, maintain, and monitor Airflow DAGs for orchestration and workflow automation. Analyze and troubleshoot data quality, data reconciliation, and pipeline execution issues. Perform end-to-end data lineage analysis and trace data from source systems to downstream consumers. Debug data discrepancies by investigating source systems, transformation logic, and target datasets. Support data migration and modernization initiatives from legacy platforms to cloud-based data platforms. Work closely with business stakeholders, architects, and upstream/downstream teams to understand data requirements. Validate data completeness, accuracy, and consistency across multiple systems. Participate in production support activities and resolve data-related incidents within SLA timelines. Develop reusable data engineering components and recommend process improvements.
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Listed on oraclehcm · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.