Job Title: Data Engineer Senior Consultant
Company: NTT DATA
Location: Chennai, Tamil Nadu, India
Employment Type: Full-time
Req ID: 355680
Experience Required: 5–8+ years
Category: Data Engineering / Technology
Role Overview
The Data Engineer Senior Consultant is responsible for designing and maintaining Azure-based ETL pipelines and data architectures supporting compensation analytics and large-scale data transformation. The role focuses on building scalable data systems, implementing business rules engines, and collaborating with global teams to modernize compensation data platforms.
Key Responsibilities
ETL Engineering & Data Pipeline Development
Design, build, and maintain Azure-based ETL pipelines using tools such as Azure Data Factory, Databricks, and Data Lake.
Ingest, clean, transform, and aggregate compensation-related datasets across regions.
Produce 9–10 aggregated output datasets monthly delivered multiple times per month.
Ensure monitoring, orchestration, error handling, and repeatability of data workflows.
Support creation of a master stitched data file replacing existing data assembly functions.
Business Rules Engine Development
Build and maintain rules engines using platforms such as Drools or ODM.
Translate business logic and analyst requirements into scalable rule-based components.
Implement governance, versioning, and validation mechanisms for compensation logic.
Data Modeling & Architecture
Partner with data architects to implement Azure-based data architecture for compensation analytics.
Develop optimized physical data models supporting analytics and downstream systems.
Integrate with Master Data Management (MDM) systems and unify regional data models.
Build reusable and parameterized pipelines for long-term scalability.
Cross-Functional Collaboration
Work with business analysts, architects, and product owners across global teams (NA and Europe).
Participate in data discovery and validation sessions.
Support multiple Agile Scrum teams delivering modernization initiatives.
Coordinate with QA and governance teams for data validation and quality standards.
Quality, Performance & Reliability
Implement data quality checks, reconciliation, and monitoring.
Optimize pipelines for large-scale datasets processed multiple times per month.
Ensure audit compliance, traceability, and business continuity.
Required Skills
Strong experience with Azure Data Factory, Databricks, Data Lake Storage, and Azure Synapse.
Advanced SQL and Python expertise.
Experience building production-grade ETL/ELT pipelines.
Data modeling and pipeline orchestration expertise.
Experience implementing rules engines such as Drools or ODM.
Agile Scrum collaboration experience.
Strong debugging, optimization, and problem-solving skills.
Company Overview
NTT DATA is a global technology and consulting services leader with over $30 billion in annual revenue and operations in more than 50 countries. The company provides services in AI, cloud, cybersecurity, data engineering, and digital transformation, supporting many Fortune Global 100 organizations.
Uttar Pradesh :
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