Databricks Engineer || Databricks Lead

HCLTech; Chennai District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

HCLTech is seeking a Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. The role focuses on building scalable pipelines, integrating diverse data sources, and delivering analytics aligned with business objectives.

Desirable candidates have 4–15 years of experience, strong SQL, ETL, and data integration skills, with exposure to Python/Spark and Agile environments. Based in India (Chennai/HCLTech).

Qualifications

• Proficiency in ETL processes and data integration.
• Strong SQL skills and relational database knowledge.
• Analytical and problem-solving abilities.

Responsibilities

• Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem.
• Build and manage Azure Data Factory pipelines for data ingestion and transformation.
• Integrate data from multiple sources into Azure Data Lake/Analytics platforms.
• Develop ETL processes to support analytics and reporting.
• Collaborate with cross-functional teams to deliver data solutions.
• Translate business requirements into technical designs and scalable architecture.
• Ensure performance, data quality, and reliability across pipelines.

Skills

ETL

SQL

Data integration

Analytical thinking

Education

Bachelor's degree in Computer Science / IT

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake

Job description

HCLTech is a global technology company, home to more than 226,500+ people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, High Tech, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services.

HCLTech is seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives

Exp: 4 – 15 years

Role Overview

We are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives.

Key Responsibilities

• Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem
• Build and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation
• Integrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms
• Develop ETL processes to support analytics and reporting requirements
• Collaborate with cross-functional teams to deliver high-quality data solutions
• Translate business requirements into technical designs and implement scalable architecture
• Ensure performance optimization, data quality, and reliability across data pipelines

Mandatory Skills

• Hands-on experience with:
• Solid understanding of ETL processes and data integration
• Proficiency in SQL and relational databases
• Strong analytical and problem-solving skills

Preferred Skills

• Experience with Python scripting and Spark APIs
• Exposure to client-facing roles and stakeholder interactions
• Familiarity with Agile / Scrum methodologies

Educational Qualification

• Bachelor’s degree in Computer Science / Information Technology / related field

At HCLTech, you will:

• Gain exposure to advanced analytics and AI-driven solutions
• Access continuous learning, certifications, and mentoring programs
• Grow into roles like Data Architect / Lead / Solution Consultant

If above opportunity is in line with your profile and who can join us in shorter notice, please drop your updated resume to [e-mail]/[e-mail]/[e-mail]/[e-mail]/[e-mail]