ApplySarthiDE&A -Data Engineering Apache
Zensar
Zensar is also hiring for this role in Bengaluru.
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This role on the market
7,130 open engineering roles across 734 companies are on ApplySarthi right now, most of them in Bengaluru (364), Hyderabad (129), Mumbai (54).
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What engineering roles keep asking for: Python (22%), AWS (21%), Observability (14%), System design (13%), CI/CD (12%) — counted across their open postings here.
CI/CD jobs · ETL jobs · Kafka jobs · Observability 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 engineering roles keep coming back to Python, AWS, Observability, System design. 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 Spark? 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?
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Practise the DE&A -Data Engineering Apache at Zensar interview free →Design, develop, and implement scalable, resilient, and high-performance data pipelines and data architecturesfor enterprise data platforms. · Build and optimize ETL/ELT pipelines supporting batch, near-real-time, and streaming data processing requirements. · Design and implement enterprise data ingestion and integration workflows using Apache NiFi, including data routing, transformation, orchestration, monitoring, and integration across heterogeneous data sources and platforms. · Develop distributed data processing solutions using Apache Spark with Scala and/or Python (PySpark). · Design and implement data solutions across relational database management systems (RDBMS) and modern data lakehouse technologies such as Apache Iceberg. · Build and optimize federated and distributed SQL capabilities using Starburst and Trino query engines. · Develop event-driven and real-time data processing solutions using Apache Kafka and Spark Streaming / Structured Streaming. · Lead end-to-end delivery of enterprise-scale data engineering initiatives involving multiple engineering, product, architecture, and business teams. · Strengthen platform reliability through automation, CI/CD, testing, monitoring, observability, documentation, and operational excellence. · Improve data quality, performance, scalability, resiliency, and cost efficiency across data platforms and pipelines. · Support enterprise data governance by maintaining metadata, technical and business documentation, data lineage, data quality controls, and secure access to data assets. · Partner with security and governance teams to ensure data solutions meet enterprise requirements for privacy, security, access control, compliance, and data lifecycle management. · Troubleshoot complex production issues, perform root-cause analysis, and implement sustainable solutions to improve platform stability. · Collaborate effectively with stakeholders across engineering, architecture, analytics, AI/ML, governance, product, and business organizations. NA
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Listed on oraclehcm · posted 2026-10-22. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.