Data brick Engineer

Job Title: Databricks Engineer

We are organizing a Walk-in Drive on 19 September (Saturday) across Pune, Chennai, and Noida locations. Candidates who are interested and can be physically present at the respective HCL office for the interview on the scheduled date are encouraged to apply. Only candidates available for in-person interviews should submit their applications.

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, SSAS, SSRS)
• 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

Access continuous learning, certifications, and mentoring programs

• Grow into roles like Data Architect / Lead / Solution Consultant