ApplySarthiDE&A - Core - Cloud Data Engineering - Snowflake Data Engineering
Zensar
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7,129 open engineering roles across 733 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.
AWS jobs · Azure jobs · BigQuery jobs · Data warehousing jobs
Zensar has 278 open roles listed here.
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- Guidewire ClaimCenter Developer
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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 Azure? Tell me one thing you learned the hard way.
- 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?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering at Zensar interview free →We are seeking a highly motivated Data Engineer to design, build, and maintain scalable data platforms and pipelines that enable analytics, reporting, machine learning, and AI-driven business solutions. The ideal candidate will have expertise in data integration, cloud technologies, data warehousing, and modern data engineering practices, with a strong focus on data quality, performance, and reliability. The Data Engineer will work closely with business stakeholders, data architects, analysts, data scientists, and application teams to deliver trusted and scalable data solutions. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field. Master's degree is a plus. Experience 12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments. Experience building and supporting large-scale enterprise data platforms. Experience working in Agile development environments. Technical Skills Programming Languages Python SQL Java (Preferred) Data Engineering Tools Apache Spark Databricks dbt Cloud Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Data Platforms Snowflake Azure Synapse Analytics Amazon Redshift BigQuery Teradata Databases SQL Server Oracle PostgreSQL MySQL MongoDB Business Intelligence Tools Tableau Power BI Looker Qlik Sense DevOps & Version Control Git Azure DevOps Jenkins Terraform Docker Kubernetes Preferred Skills Data Lakehouse Architecture Real-Time Streaming Architecture Data Mesh Concepts Master Data Management (MDM) Data Governance Frameworks Machine Learning Data Pipelines API Development & Integration Event-Driven Architecture Soft Skills Strong analytical and problem-solving abilities. Excellent communication and stakeholder management skills. Ability to work independently and collaboratively within cross-functional teams. Strong documentation and presentation skills. Attention to detail and commitment to delivering high-quality solutions. Preferred Certifications Cloud Certifications Microsoft Azure Data Engineer Associate (DP-203) AWS Certified Data Analytics Specialty Google Professional Data Engineer Platform Certifications Snowflake SnowPro Certification Databricks Certified Data Engineer Associate Tableau Certified Professional (Preferred)
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Listed on oraclehcm · posted 2026-10-23. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.