HEXAWARE

Big Data Engineer

HEXAWARE India

IT Services and IT Consulting · 10,001+ employees

7 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

The candidate will design, develop, and maintain enterprise data models while establishing data architecture standards and governance policies. They will also collaborate with cross-functional teams to ensure data consistency and support complex data integration efforts.

What they look for

Data Architecture Master Data Management Data Modeling Data Governance Database Management Data Warehousing ETL Processes Metadata Management Data Integrity Data Standards Conceptual Modeling Logical Modeling Physical Modeling Data Dictionaries Security Frameworks Data Integration

Requirements

The role requires 6–8 years of experience in designing enterprise data solutions, preferably within the CRO or Pharma industry. Strong expertise in Master Data Management, data modeling, and ETL processes is essential for this position.

Full description

Grade: G4 We are looking for a Hands-on Data Architect with 6–8 years of experience in designing and implementing enterprise data solutions, preferably in the CRO/Pharma industry. The ideal candidate should have strong expertise in Master Data Management (MDM), data modeling, data governance, database management, data warehousing, and ETL processes. Key Responsibilities Design, develop, and maintain conceptual, logical, and physical data models. Develop and maintain data architecture standards, data management conventions, data dictionaries, data element naming standards, and metadata standards. Work extensively on MDM initiatives/projects to ensure accurate, consistent, and governed master data across systems. Establish data standards, metadata management policies, and security frameworks to ensure data integrity, compliance, and governance. Collaborate with cross-functional teams including business, analytics, application, and engineering teams to ensure data consistency and integrity across platforms. Ensure data architecture aligns with business goals, security requirements, regulatory standards, and performance expectations. Support and guide data integration efforts involving databases, data warehouses, and ETL pipelines

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