Azure Data Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Azure Data Engineer to join our team in Chennai, Tamil Ndu (IN-TN), India (IN).

Job Duties: ETL Engineering & Data Pipeline Development

Design, build, and maintain Azurebased ETL pipelines (e.g., Data Factory, Databricks, Data Lake) to ingest, clean, transform, and aggregate compensationrelated 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 errorhandling for all ingestion and transformation workflows.
Contribute to the creation of a master stitched data file to replace Varicents current dataassembly functions.

Business Rules Engine Development

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 highstakes compensation scenarios.

Data Modeling & Modern Architecture Implementation

Partner with data architects to implement the targetstate Azure data architecture for compensation analytics.
Develop optimized, scalable physical data models aligned to business logic and downstream needs.

CrossFunctional Collaboration

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.

Quality, Performance & Reliability

Implement data quality checks, profiling, reconciliation, and alerting across ingestion and transformation pipelines.
Engineer performanceoptimized pipelines capable of processing large, complex datasets multiple times per month.
Ensure compliance with audit, traceability, and business continuity expectations for compensation data.

Qualifications

5-8+ years of experience as a Data Engineer with strong handson expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred).
Proven ability to build productiongrade ETL/ELT pipelines supporting complex, multiregional 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 problemsolving skills.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the worlds leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each clients needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .

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