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 & Contemporary 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 t

📌 Data Engineer Advisor (Bengaluru)
🏢 NTT DATA Services
📍 Bengaluru