Senior Azure Data Engineer Job Description: Build and extend re-usable application components & frameworks using latest Azure Data Platform Services catering to high volume, high velocity and highly concurrent systems Actively participate in all phases of software development lifecycle: analysis, technical design, planning, development, testing, CICD, release, post production/escalation support Work on highly scalable, available and resilient multi-tenant platforms that host mission critical applications Develop large scale multi-tenant software components in an Agile based methodology to provide self-service capabilities Take ownership of application components and drive it to support product evolution as per the organizational requirements Qualifications: Bachelor's degree in Computer Science, or related technical discipline with preferably 4+ years of proven software development experience Experience in designing, building, tuning & troubleshooting distributed, scalable data pipelines & data streaming solutions with Azure Data Platform Services In depth knowledge and hands-on experience of key Azure Data Platform Service components like Distributed Storage & Computing solutions including but not limited to – Cosmos DB, Azure Data Hub, Azure Synapse Analytics Real time streaming solutions including but not limited to – Azure Synapse Analytics, Confluent Kafka, Azure Functions Data Insights & Sharing solutions including but not limited to - Power BI, Azure Redis Cache, Azure API Management & Azure Data Share Excellent verbal and written communication and presentation skills, analytical and problem-solving skills Proficiency in engineering practices and writing high quality code, with expertise in either one of Java, Scala or Python especially in OOP constructs & highly concurrency systems Good understanding of different Design Patterns and their usage. Well versed in shell scripting for working on Unix/Linux based systems. Encourage use of correct coding practices through code reviews and TDD approach. Locations: Bengaluru, Navi Mumbai, Gurugram, Hyderabad