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Azure Data Engineer

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NTT DATA

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Azure Data Engineer role at NTT DATA involves designing and maintaining Azure-based ETL pipelines and data models. Candidates should have a strong background in SQL, Python, and Azure technologies, with at least 5 years of experience in data engineering. The position requires collaboration with cross-functional teams and a focus on data quality and performance optimization.

Job Responsibility:

  • Design, build, and maintain Azure‑based ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensation‑related datasets across multiple regions
  • Engineer upstream processes to produce 9–10 monthly aggregated output files (customer, revenue, product, sales rep, etc.), delivered 3× per month
  • Ensure repeatability, monitoring, orchestration, and error‑handling for all ingestion and transformation workflows
  • Contribute to the creation of a master stitched data file to replace Varicent’s current data‑assembly functions
  • Build, configure, and maintain a rules engine (ODM, Drools, or similar) to externalize business logic previously embedded in code
  • Translate rules and logic captured by analysts and business SMEs into scalable, testable engine components
  • Implement versioning, governance, and validation mechanisms for all logic used in compensation calculations
  • Ensure rule changes can be managed safely, reducing risk in high‑stakes compensation scenarios
  • Partner with data architects to implement the target‑state Azure data architecture for compensation analytics
  • Develop optimized, scalable physical data models aligned to business logic and downstream needs
  • Integrate with MDM sources and temporary EU workarounds, helping unify regional variations into a consolidated model
  • Build reusable, parameterized data pipelines and frameworks supporting long‑term extensibility
  • Work closely with business analysts, data analysts, architects, and product owners across NA and Europe
  • Participate in data discovery sessions, helping interpret and validate logic, rules, and data patterns
  • Support three Scrum teams delivering compensation modernization, ensuring clarity on transformations and dependencies
  • Collaborate with QA, data quality testers, and governance teams to enforce validation standards
  • Implement data quality checks, profiling, reconciliation, and alerting across ingestion and transformation pipelines
  • Engineer performance‑optimized pipelines capable of processing large, complex datasets multiple times per month
  • Ensure compliance with audit, traceability, and business continuity expectations for compensation data

Requirements:

  • 5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred)
  • Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes
  • Experience designing or implementing rules engines (Drools, ODM, or similar)
  • Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization
  • Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred)
  • Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions
  • Excellent debugging, optimization, and engineering problem‑solving skills
  • Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Additional Information:

Job Posted:
January 31, 2026

Work Type:
Hybrid work
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