Requirements A minimum of 5 years of experience in managing and developing solutions on the Azure data platform Extensive experience with Azure Data Factory SQL Server database design and ETL processes Primary Skills Proven experience in Microsoft Fabric for data integration orchestration and analytics Robust proficiency in PySpark for scalable data transformation and processing Expertise in Azure Databricks and Spark SQL for advanced ETL and data modeling Strong hands-on knowledge of Azure Synapse Analytics for warehousing and analytical workloads Proficiency in SQL and relational databases with focus on performance tuning and query optimization Solid understanding of ETL ELT processes Delta Lake and data lakehouse architectures Knowledge of Azure Data Factory Azure DevOps and CI CD pipelines for deployment automation Understanding of data governance security and compliance Key Vault RBAC Managed Identities Key Responsibilities Design develop and maintain scalable end-to-end data pipelines using Microsoft Fabric PySpark and Databricks Build and optimize data models and ETL workflows to support analytics reporting and machine learning Integrate data from relational databases APIs and flat files into Azure Data Lake ADLS and Synapse Implement Delta Lake architecture to ensure ACID compliance and maintain historical data versions Collaborate with data architects analysts and business teams to translate business requirements into technical solutions Optimize Spark and SQL performance for high-volume data workloads Implement monitoring alerting and logging solutions using Azure Monitor and Log Analytics Contribute to data governance and security standards ensuring data quality and reliability across environments Mentor junior engineers and promote best practices in modern data engineering and Azure cloud technologies Preferred Skills Experience with Power BI or similar visualization tools for integrated analytics Exposure to real-time data processing and event-driven architectures Kafka Event Hubs Familiarity with CI CD best practices using Azure DevOps and Git-based workflows Strong problem-solving analytical and communication skills Location Bangalore Chennai Email aswini u applogiq org Phone 96293 11599 Job Type Full-time Work Location In person

📌 Data Engineer (Karnataka)
🏢 ApplogiQ
📍 Karnataka