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Big Data Lead

Hexaware Technologies • SQL • ETL/ELT • Talend • Azure Data Factory • AWS Glue • Dimensional Modeling • 1 year ago
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Salary
≈ $119k – $234k per year (Estimated)
Location
In office (United States)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on May 27, 2025. Hexaware Technologies scores B on the Alion truth index.

Overview
Company
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Profile match

Hexaware Technologies

Hexaware Technologies is a global IT and business process services company headquartered in Navi Mumbai, India, providing cloud, data, AI, application development, enterprise platform and digital transformation services. Founded in 1990, it serves clients in banking, financial services, healthcare, insurance, travel, transportation, manufacturing and consumer industries, employs more than 31,600 people and is listed in India and majority-owned by The Carlyle Group. It hires Java and full stack developers, DevOps and cloud engineers, Gen AI architects, SAP consultants, delivery managers and support engineers in India, the United States, Sri Lanka, Singapore and Argentina.
hexaware.com • HQ: Navi Mumbai, India • Business Process Outsourcing (BPO) • Information Technology • Software • Custom Software Development • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1990
Tech stack of Hexaware Technologies

Database Development & Management

  • Strong experience in SQL development and query optimization.
  • Hands-on experience with Snowflake (preferred), Oracle, or any relational database.
  • Understanding of database indexing, partitioning, and performance tuning. . ETL/ELT Development
  • Expertise in ETL/ELT development, preferably using Talend (or any other ETL tool).
  • Strong proficiency in Advanced SQL scripting for data transformation and processing.
  • Ability to design, develop, and optimize data pipelines for structured/unstructured data.
  • Experience in error handling, logging, and recovery mechanisms for ETL processes. Data Warehousing & Modeling
  • Understanding of Data Warehousing concepts, including Star Schema and Dimension Modeling.
  • Hands-on experience with Snowflake (preferred) or other cloud/on-prem data warehouses.
  • Ability to design and maintain Fact and Dimension tables for analytics and reporting.
  • Knowledge of data partitioning and performance tuning techniques in DWH environments. CI/CD & Version Control (Good to Have, Not Core Focus)
  • Experience using GIT for version control of ETL scripts and database objects.
  • Exposure to CI/CD tools like TeamCity (preferred), Jenkins, or Azure DevOps for ETL deployment automation.
  • Understanding of branching strategies, merging, and automated deployments for ETL processes.
  • Familiarity with scheduled job execution and monitoring via CI/CD tools. Cloud Exposure (Good to Have, Not Core Focus)
  • Basic familiarity with Azure or AWS cloud environments.
  • Understanding of Snowflake on Azure/AWS or Redshift on AWS (data storage, querying, and schema management).
  • Exposure to cloud storage solutions (Azure Blob, AWS S3) for data ingestion and staging.
  • Awareness of cloud-based ETL services (Azure Data Factory, AWS Glue) - preferred but not required.
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