Azure Data Streaming Engineer

Role: Azure Data Streaming Engineer Location: Bangalore, India Experience: 6+ years Skills: ADF (Must have) , Databricks, Pyspark, SQL, Python, Azure functions, Real- Time Streaming (Must have) , Azure IoT Hub (Must have) , Data Pipeline, Delta Live table (Good to have), Apache Kafka (Must have) , Azure Event Hubs (Must have). About the Role: We are looking for a n Azure Data Streaming Engine er who lives and breathes high-velocity data. If you are a Data Engineer who thinks like a Software Engineer—prioritizing low latency, event-driven architecture, and clean code over simple batch ETL—this role is for you. You will be joining our team to architect, build, and maintain mission-critical streaming pipelines. You won't just be moving data from A to B; you will be building the systems that power live tracking, real-time triggers, and high-frequency event processin g. What You Will Do: Architect Real-Time Pipeli nes: Design and implement robust, scalable, and low-latency data streaming architectu res. Build & Optim ize: Develop high-performance data processing pipelines using Python, PySpark, and Databri cks. Event-Driven Lo gic: Build complex event-driven workflows (e.g., real-time notifications, IoT telemetry processing, live logistics tracki ng). Bridge Backend & D ata: Collaborate with software engineers to integrate data pipelines directly into application backe nds. Monitor & Sc ale: Ensure system reliability, uptime, and performance in a high-concurrency Azure environm ent. Must-Have Qualifications: Strong Python Backend C oding: This is not a SQL-only role. You must be comfortable writing production-grade, maintainable Python code.Real-Time/Streaming Expe rtise: Hands-on experience with streaming datasets and real-time architectures (not limited to b atch).Azure Ma stery: Deep knowledge of the Azure Data ecosystem, specifi cally Azure Even t Hub s and Azure I o T Hub.Processing Frame works: Proven experience with P ySpar k and Data b ricks.Message Br okers: Professional experience with Apache Kafka or similar distributed streaming plat forms.Data Fundame ntals: Strong SQL skills for complex data transformation and analytical queries.