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