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HEXAWARE

AI-driven global IT services provider

Big Data Lead

Data ManagementPosted on Nov 13
Full-timeUnited StatesNo salary listedIn-person

About the Job

Requirements

  • Experience with data modeling techniques.
  • Proficiency in Azure cloud services.
  • Working knowledge of Databricks is desirable.
  • Knowledge of banking domain, Power Designer, ERWin, ER/Studio, and Azure is listed among the primary and secondary skills.

Responsibilities

  • Design and develop robust, scalable, and flexible data models and maintain conceptual, logical, and physical models supporting business requirements.
  • Collaborate with stakeholders to understand data requirements and translate them into effective data models.
  • Implement data-modeling best practices, including normalization, denormalization, and data integration.
  • Use Data Vault techniques to build enterprise data lakes and lakehouses and integrate disparate data sources.
  • Design and implement Hubs, Links, and Satellites for comprehensive data capture and historical tracking.
  • Optimize Data Vault models for performance and scalability.
  • Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
  • Ensure data security, compliance, and best practices in Azure environments.
  • Work with data engineers, data scientists, and business analysts to understand data needs and align data models.
  • Document data models, data flows, and integration processes.

Desired Qualifications

  • Working knowledge of Databricks.
  • Azure Data Services experience, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics, is identified as good to have/secondary.

About the Company

HEXAWARE

AI-driven global IT services provider

HEXAWARE provides IT consulting, enterprise platform management, and BPO services to large enterprises, helping clients in banking, insurance, and utilities with AI-powered digital transformation. It delivers technology-enabled solutions that automate processes, modernize IT, migrate to cloud, develop and manage applications, manage data, and enhance cybersecurity under customized contracts. The company differentiates itself by integrating AI-driven automation, cloud, data management, security, and BPO across the full IT stack for large-scale transformations. Its goal is to improve operational efficiency, reduce costs, and enable smarter decision-making for its customers.

Company size
10,001+
Company stage
IPO
Headquarters
Navi Mumbai, India
Founded
1990

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