Data Engineer Azure Data Platform

Data Engineer Azure Data Platform Location: Bangalore Job Type: Full-time | On-site Experience: 69 Years Shift: Day Shift Education: B.E./B.Tech in Computer Science, Information Technology, Electronics, or a related Engineering discipline. Age Limit: Up to 40 Years Job Overview We are looking for an experienced Data Engineer Azure Data Platform to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate should have strong hands-on experience with Microsoft Azure data services, ETL/ELT pipelines, and modern data engineering practices. Key Responsibilities Design, develop, and maintain ETL/ELT data pipelines using Azure services.Build and manage data ingestion, transformation, and integration workflows.Develop and optimize data lakes, data warehouses, and data models.Ensure data quality, security, and governance across enterprise data platforms.Monitor and optimize data pipeline performance and troubleshoot issues.Implement CI/CD practices for data engineering workflows.Collaborate with cross-functional teams to deliver scalable data solutions.Required Skills Strong experience with:Azure Data Factory (ADF)Azure Synapse AnalyticsAzure Data Lake Storage (ADLS)Azure SQL DatabaseHands-on experience with:Azure DatabricksPySparkApache SparkStrong knowledge of SQL and Python.Experience in ETL/ELT development, data modeling, and performance tuning.Knowledge of Azure DevOps, Git, and CI/CD pipelines.Understanding of data governance and security best practices.Preferred Qualifications Experience working on enterprise-scale Azure cloud data platforms.Microsoft Azure Data Engineer Certification is an added advantage.Strong analytical, problem-solving, and communication skills.Experience with Power BI or other reporting tools is a plus.Compensation: 913,920.00 - 1,468,800.00 per year Application Question(s): How many years of experience do you have in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database Do you have hands-on experience with PySpark, Azure Databricks, and Apache Spark What is your highest qualification Work Location: In person .