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HEXAWARE

AI-driven global IT services provider

Big Data Lead

Data EngineeringPosted on Nov 11
Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

  • A graduate or postgraduate qualification in Engineering, or a postgraduate qualification in a non-engineering discipline, is required.
  • Five to nine years of experience in ITIL processes, application support, or deployment activities is required.
  • Strong experience with Databricks, SQL, and data warehousing is required.
  • Modern data engineering practices and AI-enabling data platforms are desirable.
  • A positive attitude and proactively providing solutions are expected.

Responsibilities

  • Analyze the current Oracle data warehouse, including PostgreSQL source feeds and SAS ETL-generated structures, and design the target model in Databricks.
  • Build and optimize ETL/ELT pipelines in Databricks using Spark SQL and PySpark to migrate core data warehouse tables and datamarts from Oracle to Databricks.
  • Translate Oracle SQL/PL-SQL logic into Databricks Spark SQL and PySpark, ensuring functional equivalence and performance optimization.
  • Ensure the data quality, performance, and reliability of the new Databricks-based data warehouse to enable downstream analytics and AI/ML use cases.
  • Collaborate with the Enterprise Architect, ADP platform team, and business stakeholders to align with architecture, standards, and best practices.
  • Document migration patterns, data models, and operational procedures to support long-term maintainability and reusability.

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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