Azure Data Engineer at NTT DATA

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Databricks, Azure Data Lake Storage, SQL, Azure Synapse, ETL Engineering, Data Pipeline Development, Rules Engine, Data Modeling, Python, Agile Scrum, Data Governance, Data Quality, Performance Optimization, Business Logic

Industry

IT Services and IT Consulting

Description

Req ID: 355686 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 Nādu (IN-TN), India (IN). Job Duties: ETL Engineering & Data Pipeline Development 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. 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 high‑stakes compensation scenarios. Data Modeling & Modern Architecture Implementation 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. Cross‑Functional 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 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. Qualifications 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 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 world's 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 client’s 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, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

Design, build, and maintain Azure-based ETL pipelines and business rules engines to support compensation analytics. Collaborate with cross-functional teams to ensure data quality, performance, and alignment with business requirements.