Databricks Engineer

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 – 9 years Location: Bengaluru /Chennai /Hyderabad /Noida/Pune Role: Databricks Engineer 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 Educational Qualification Bachelor's 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 Career Growth At HCLTech, you will: Work on enterprise-scale Azure data platforms 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 Keywords Databricks Engineer | Azure Data Factory | Azure Databricks | ETL | Azure Synapse | SQL | Data Engineering If above opportunity is in line with your profile and who can join us in shorter notice, please drop your updated resume to [HIDDEN TEXT]/[HIDDEN TEXT]/[HIDDEN TEXT]/[HIDDEN TEXT]/[HIDDEN TEXT]