Data Engineer Senior Consultant

NTT DATA, Inc.; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

NTT DATA, Inc. is seeking a Data Engineer Senior Consultant in Bengaluru, Karnataka, to design and maintain Azure-based ETL pipelines and collaborate with data architects and Scrum teams. Required skills include 5–8+ years of experience with Azure technologies and strong SQL background. The role emphasizes cross-functional teamwork and robust ETL processes in a multi-regional business environment. Interested candidates should look forward to a diverse and innovative workplace where they can thrive.

Qualifications

• 5–8+ years of experience as a Data Engineer with strong hands-on expertise in Azure.
• Proven ability to build production-grade ETL/ELT pipelines for complex multi-regional processes.
• Experience designing or implementing rules engines like Drools or ODM.

Responsibilities

• Design, build, and maintain Azure-based ETL pipelines.
• Build, configure, and maintain a rules engine for business logic.
• Partner with data architects to implement target-state Azure data architecture.

Skills

ETL Engineering

Azure Data Factory

SQL

Data modeling

Agile Scrum

Tools

Databricks

Data Lake Storage

Synapse

Job description

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 Data Engineer Senior Consultant to join our team in Bengaluru, Karnataka (IN-KA), 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.

Partner with Data Architects

• 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.

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.