Databricks Engineer

HCLTech; Dadri, Pune District, Chennai District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

HCLTech is seeking a Databricks Engineer to design, develop, and optimize data solutions on Microsoft Azure. You will build scalable pipelines, integrate diverse data sources, and deliver analytics aligned with business objectives.

The role requires hands-on experience with Azure Databricks, ADF, Synapse, DevOps, and data lake technologies, plus strong SQL skills and problem-solving. You will collaborate across teams to ensure data quality and reliable deployments.

Qualifications

• Strong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSRS, SSAS).
• Hands-on experience with Azure Data Factory (ADF).
• Azure Databricks experience.
• Azure Synapse Analytics experience.
• Azure DevOps experience.
• Azure Storage / Data Lake experience.
• Solid understanding of ETL processes and data integration.
• Proficiency in SQL and relational databases.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem.
• Build and manage Azure Data Factory (ADF) pipelines for 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 optimization, data quality, reliability across pipelines.
• Support deployment and version control using Azure DevOps.

Skills

Azure Databricks

Azure Data Factory

Azure Synapse Analytics

Azure DevOps

Azure Storage

SQL / Relational databases

ETL / data integration

Azure Stack

Education

Bachelors in CS/IT

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Azure DevOps

Azure Storage/Data Lake

Job description

Job Title: Databricks Engineer

About HCLTech

HCLTech is a global technology leader known for delivering innovative and transformative digital solutions across industries. With a strong focus on customer success, cutting-edge research, and sustainable practices, HCLTech empowers organizations to accelerate their digital journey and drive business value on a scale.

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
• Support deployment and version control using Azure DevOps

Mandatory Skills

• Strong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSRS, SSAS)
• Hands-on experience with:
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse Analytics
• Azure DevOps
• Azure Storage / Data Lake
• Solid understanding of ETL processes and data integration
• Proficiency in SQL and relational databases
• Strong analytical and problem-solving skills

Preferred Skills (Good to Have)

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

Educational Qualification

• Bachelors degree in Computer Science / Information Technology / related field

Skill Evaluation Matrix (Snapshot)

• Azure Stack, ADF, Databricks, Synapse, ETL, SQL – Core strengths required
• DevOps, Storage/Data Lake – Supporting capabilities
• Python/Spark, Client Engagement, Agile – Added advantage