Strong experience in Azure - Azure Data factory, Azure Data Lake, Azure Databricks
Good at Cosmos DB, Azure Sql data warehouse / synapse
Excellent in data ingestion (Batch and real time processing)
Good understanding of synapse workspace and synapse analytics.
Good hands-on experience on pyspark or scala spark.
Good hands-on experience on delta lake.
Good hands on of Spark streaming.
Good Understanding of Azure devops.
Good Understanding of Azure Infrastructure concepts.
Have at least one project end to end hands on implementation experience as architect.
Expert and persuasive communication skills (verbal and written)
Expert in presentation and skilled at managing multiple clients
Good at Python / Shell Scripting
Good to have Azure/any cloud certifications
Nice to Have:
Conceptual experience with 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 meetup
Qualification:
8-16 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),
Data warehousing, big data (Hadoop, Spark, Storm), NoSQL, and business analytics.
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 Big Data solutions using Microsoft Data Platform and Azure Data Services
