Strong hand on experience in Azure (at least 2 years) - Azure Data factory
Good understanding of Cosmos DB, Azure SQL data warehouse / synapse
Excellent in data ingestion (Batch and real time processing)
Good understanding of Streaming
Expert in presentation and skilled at managing multiple clients
Good at Python/ Spark / Shell Scripting
Nice to Have:
Experience/Exposer in Power BI/Azure Data Lake/ Databricks
Past Experience in MSBI
Exposer to AWS Cloud
Experience with Azure ML
Excellent mentoring skills with team player attitude
Active on blogging, delivering webinars / tech talk, active participation in tech conference & meetups
Qualifications:
2-5 years of implementation experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle),
Min 2 years experienced with Azure cloud computing, Azure SQL DB/DW, HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Stream Analytics, Azure Data Factory, and Cosmos DB.
Experience of hybrid and/or cloud architectures that utilize Azure.
Demonstrable hands-on experience implementing data solutions using Microsoft Data Platform and Azure Data Services
