Azure Data Enginner

Job Title: Senior Azure Data Engineer Location: Bangalore, Experience Required: 10+ Years Job Summary We are looking for an experienced Azure Data Engineer with 10+ years in Data Engineering to join our Bangalore-based team. You'll work on large-scale data platforms with a focus on Azure and Snowflake, handling complex financial and retail datasets. Key Responsibilities Design, develop, and maintain scalable and robust data pipelines using Azure services. Build and optimize data architectures including data lakes and data warehouses. Integrate, model, and orchestrate complex finance-related datasets across multiple systems. Collaborate with cross-functional teams to gather business requirements and translate them into data solutions. Ensure data quality, reliability, and governance through automated data integrity checks and monitoring systems. Tune performance and conduct bottleneck analysis across data platforms and pipelines. Implement CI/CD pipelines for data workflows and infrastructure as code practices. Work with Kafka and similar real-time data streaming platforms. Apply best practices in data engineering and DevOps frameworks to promote reusable and modular architecture. Required Skills & Qualifications 10+ years of experience in Data Engineering, with a strong focus on the Azure ecosystem. Solid experience with Azure Data Factory, Azure Databricks, Azure Synapse, and other Azure data services. Hands-on experience with Snowflake or similar cloud-based data warehouses. Proficiency in SQL, Python, PowerShell, and JavaScript. Experience handling large-volume datasets, ideally in the retail industry. Strong background in performance tuning, optimization, and data troubleshooting in complex environments. Familiarity with Kafka for data streaming and event-driven architecture. Experience with CI/CD, DevOps principles, and monitoring tools. Excellent communication skills with the ability to work in fast-paced, dynamic teams.