
Azure Data Engineer
2 weeks ago
Job Position : Azure Data Engineer
Skills: ADF, PySpark, SQL, Azure-Synapse, Data Bricks
Location: Bengaluru
Responsibilities
- 5 years of experience in leading the design and development of data and analytics projects in a global company. Experience in working for projects across-functional teams, building sustainable processes and coordinating release schedules.
- MS SQL experience with data modeling
• Experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Server and Warehouses. Experience in Cloud based EDW platforms (Snowflake, Synapse, Redshift, Big Query etc)
• Build and launch new data models that provide intuitive analytics for the analysts and customers
• Help build high-performance and flexible streaming pipelines that can rapidly evolve to handle new technologies, techniques, and modeling approaches
• Build data expertise and own data ingestion pipelines
• Write complex ETL processes and framework using Azure Data Factory ADF
• Implement large-scale near real-time streaming data processing pipelines
• Strong knowledge of Spring frameworks Experience with Kafka messaging platform Experience with Big Data/streaming platforms such as Spark, Flink, Kafka Streams, and/or EventHub Experience using Azure Cloud (Azure vm, Azure cognitive search, HDI, Azure functions, ADLS, etc.)
• Familiarity with containers, micro-services and APIs Experience working with different operating systems (Unix, Windows, Linux)
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