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Associate Staff Engineer - Data Engineer

Nagarro

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What data roles keep asking for: AWS (25%), SQL (23%), Python (22%), Machine learning (12%) — counted across their open postings here.

AWS jobs · Azure jobs · CI/CD jobs · Data modelling jobs

Nagarro has 881 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for data roles keep coming back to AWS, SQL, Python, Machine learning. Practise those questions before you sit with Nagarro.

Questions you are likely to be asked

  1. Why do you want to join Nagarro?
  2. What is your experience with Snowflake? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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Role and Responsibility: Design & Build Data Models: Architect and develop scalable, performant data models in Snowflake using dimensional modeling (star/snowflake schemas), OBT, and Data Vault patterns. You''ll own the data warehouse layer that powers analytics and reporting across the organization. Develop & Maintain dbt Projects: Build, test, and document dbt models end-to-end — staging, intermediate, and mart layers. Enforce best practices including version control, CI/CD, data contracts, and comprehensive testing (schema, data, and freshness tests). Snowflake Cost Optimization: Monitor and optimize Snowflake compute and storage costs. This includes warehouse sizing and auto-suspend tuning, query profiling, clustering key strategies, materialization choices, and implementing resource monitors to control spend. Data Pipeline Development: Design and build robust ELT/ETL data pipelines to ingest, transform, and deliver data from diverse sources (ERP, MES, IoT, APIs, flat files) into Snowflake/ AWS Glue/ Lambda. Automate workflows using orchestration tools and Python scripting. Data Quality & Governance: Implement data quality checks, lineage tracking, and documentation standards. Champion data governance practices to ensure trusted, reliable data across the organization. Expectation from the Candidate: Experience: 3+ years of experience in data engineering, analytics engineering, or a related role, with hands-on Snowflake and dbt experience in a production environment. Technical Prowess: Expert-level Snowflake skills: data modeling, performance tuning, query optimization, Snowpark, stored procedures, streams/tasks, data sharing, and cost management. Strong dbt proficiency: model development, Jinja/macros, packages, incremental models, snapshots, exposures, and CI/CD integration. Advanced SQL skills for complex transformations, window functions, CTEs, and analytical queries. Proficiency in Python for data pipeline development, automation, scripting, and API integrations. Experience with dashboard/BI tools (Power BI, Tableau) including data source optimization and DAX/LOD calculations. Cloud platform experience (Azure, AWS, or GCP) including storage, compute, networking, and infrastructure-as-code basics. Must have skills: Cloud development (Strong), DBT, SQL (Expert), Snowflake

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Listed on smartrecruiters · posted 2026-09-22. ApplySarthi collects openings and links to application pages; the role is advertised by Nagarro, not by us.