NTT

4 months ago

Data Engineer Advisor

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Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and maintain Azure-based ETL and data pipelines for compensation analytics, including ingestion, cleansing, transformation, and aggregation across multiple regions. Engineer upstream processes for scheduled aggregated outputs and create master stitched datasets. Develop and govern a rules engine for compensation logic (e.g., Drools/ODM), while partnering with analysts, architects, and QA teams to ensure data quality, monitoring, orchestration, performance, and auditability in Agile Scrum delivery.

Location: Hyderabad, Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain Azure-based ETL pipelines to ingest, clean, transform, and aggregate compensation datasets across regions.
•Engineer upstream processes to produce monthly aggregated output files delivered multiple times per month and manage repeatability, monitoring, orchestration, and error handling.
•Build and maintain a rules engine to externalize business logic, translating analyst/SME rules into scalable, testable engine components with versioning and governance.
•Partner with data architects to implement target-state Azure data architecture, develop physical data models, and integrate MDM sources and regional variations into consolidated models.
•Implement data quality checks (profiling, reconciliation, alerting), performance-optimized processing for large datasets, and ensure audit traceability and continuity expectations.

Key Requirements

•5–8+ years as a Data Engineer with hands-on Azure experience (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred).
•Proven ability to build production-grade ETL/ELT pipelines for complex, multi-regional business processes.
•Experience designing or implementing rules engines (Drools, ODM, or similar).
•Strong SQL skills plus data modeling, data orchestration, and pipeline optimization experience.
•Ability to work in Agile Scrum teams and collaborate globally (U.S. and India preferred).

Experience:5-8 yearsData engineeringETLData pipelinesMulti-regional

Skills:CollaborationDebuggingEngineering problem-solvingData quality focusGovernance

Tech Stack:AzureAzure Data FactoryAzure DatabricksData Lake StorageSQLAzure SynapsePythonDroolsODMMDMDatabricksVaricent

Company Brief

NTT

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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NTT