Data Engineer - Azure Data Factory, Databricks, ETL, Synapse, SQL

About the Company

HCLTech is a leading global technology company with a workforce exceeding 223,000 employees spread across 60 countries. It specializes in digital transformation, cloud services, AI, and engineering solutions, serving diverse sectors including Financial Services, Manufacturing, Life Sciences, Healthcare, High Tech, Telecom, Media, Retail, and Public Services. The company's consolidated revenue is $14 billion as of June 2025.

Job Overview

We are looking for experienced Data Engineers skilled in Azure Data Factory (ADF), Azure Databricks (ADB), Synapse Analytics, ETL processes, and SQL development. This role involves designing and implementing scalable data solutions on the Microsoft Azure platform to support business analytics and decision-making.

Key Responsibilities

• Design and implement scalable data pipelines utilizing Azure Databricks and the wider Azure ecosystem.
• Create and manage data ingestion and transformation pipelines with Azure Data Factory.
• Integrate various structured and unstructured data sources into Azure Data Lake and analytics platforms.
• Develop complex ETL workflows to support reporting and analytics requirements.
• Collaborate effectively with cross-functional teams to deliver high-quality data solutions aligned with business needs.
• Translate business requirements into technical architecture and designs for scalable implementation.
• Optimize data pipelines for performance, quality, and reliability.
• Manage deployment and version control activities using Azure DevOps.

Essential Skills and Experience

• Profound knowledge of Microsoft Azure Stack technologies, including T-SQL, SSIS, SSAS, and SSRS.
• Hands-on expertise with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps, and Azure Storage/Data Lake.
• Strong understanding of ETL methodologies and data integration best practices.
• Advanced proficiency in SQL and relational database management.
• Excellent analytical and problem-solving capabilities.

Preferred Skills

• Experience with Python scripting and Spark APIs is advantageous.
• Exposure to client-facing responsibilities and stakeholder communication.
• Familiarity with Agile and Scrum development methodologies.

Educational Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field.

Recruitment Process

The hiring process consists of an online proctored assessment followed by two rounds of technical interviews, conducted remotely.

Locations

The role is available in multiple locations including Pune, Noida, Chennai, Bangalore, and Hyderabad.

Candidate Instructions

Interested applicants should confirm availability for the online test and provide details such as total experience, experience in Databricks, Data Factory, Synapse, SQL, Python/PySpark, current and expected compensation, notice period, current and preferred work location.