Senior Technical Lead

HCLTech • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Bachelor's Degree • Python • SQL • ETL/ELT • 3 hours ago
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Salary
≈ $22k – $51k per year (Estimated)
Location
In office (Noida)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
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Profile match

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

The Data Engineer - Databricks will be responsible for building and optimizing our data pipelines, architectures, and data sets. He will work closely with data scientists, analysts, and other engineers to support their data needs and maximize the value of our data processing capabilities.

Key Responsibilities

  • Design, develop, and maintain scalable and robust data pipelines on Databricks.

  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions.

  • Optimize and troubleshoot existing data pipelines for performance and reliability.

  • Ensure data quality and integrity across various data sources.

  • Implement data security and compliance best practices.

  • Monitor data pipeline performance and conduct necessary maintenance and updates.

  • Document data pipeline processes and technical specifications.

Skill Requirements

  • A bachelor’s degree in computer science, Engineering, or a closely related discipline is required.

  • 5+ years of experience in data engineering.

  • Proficiency with Databricks, Python and Spark.

  • Strong SQL skills and experience with relational databases.

  • Experience with big data technologies (e.g., Hadoop, Kafka).

  • Knowledge of data warehousing concepts and ETL processes.

  • Excellent problem-solving and analytical skills.

Other Requirements

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