Developer

HCLTech • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • ETL/ELT • 11 hours ago
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Location
In office (Chennai)

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026.

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HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
hcltech.com • HQ: Noida, India • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1976
Tech stack of HCLTech

Job Summary

To develop and deliver codes for the work assigned in accordance with time| quality and cost standards.

Key Responsibilities

  • Design and implement data pipelines to extract, transform, and load data from various sources into a data warehouse
  • Develop and maintain data models and schemas to support business intelligence and analytics applications
  • Optimize data storage and retrieval systems for performance and scalability
  • Collaborate with data scientists and analysts to develop and deploy machine learning models and algorithms
  • Implement data governance policies and procedures to ensure data quality, security, and compliance
  • Manage and monitor data processing and storage infrastructure, including cloud-based platforms such as AWS
  • Develop and maintain ETL workflows using tools
  • Design and implement data integration solutions for third-party applications and services
  • Conduct performance tuning and optimization of database systems and queries

Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering.

Skill Requirements

  • Design and implement data pipelines to extract, transform, and load data from various sources into a data warehouse
  • Develop and maintain data models and schemas to support business intelligence and analytics applications
  • Optimize data storage and retrieval systems for performance and scalability
  • Collaborate with data scientists and analysts to develop and deploy machine learning models and algorithms
  • Implement data governance policies and procedures to ensure data quality, security, and compliance
  • Manage and monitor data processing and storage infrastructure, including cloud-based platforms such as AWS
  • Develop and maintain ETL workflows using tools
  • Design and implement data integration solutions for third-party applications and services
  • Conduct performance tuning and optimization of database systems and queries

Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering.

Other Requirements

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