We are looking for an experienced Azure Data Engineer to design, develop, and optimize scalable cloud-based data solutions on Microsoft Azure. The candidate should have strong expertise in Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, PySpark, SQL, and Data Warehousing concepts
Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks. , Build and optimize scalable data processing solutions using PySpark and Spark. Develop and manage data ingestion frameworks from databases, APIs, files, and cloud sources.Design and implement Data Lake, Data Warehouse, and Lakehouse architectures. Create efficient SQL queries and perform performance tuning for large-scale datasets. Collaborate with Data Scientists, Analysts, and Business Teams to understand and deliver data requirements.Implement data quality, governance, security, and monitoring frameworks. Support CI/CD deployment and automation using Azure DevOps and Git.
HCLTech is a global technology company, home to more than 226,600 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, 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, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
