Azure Data Engineer

Must-Have Skills: • Good experience in Pyspark - Including Dataframe core functions and Spark SQL • Good experience in SQL DBs - Be able to write queries including fair complexity. • Should have excellent experience in Big Data programming for data transformation and aggregations • Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.

• Good customer communication. • Good Analytical skill Technology Skills (Good to Have): Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.

Designing and implementing data engineering, ingestion, and transformation functions Azure Synapse or Azure SQL data warehouse Spark on Azure is available in HD insights and data bricks Good to Have: Experience with Azure Analysis Services Experience in Power BI Experience with third-party solutions like Attunity/Stream sets, Informatica Experience with PreSales activities (Responding to RFPs, Executing Quick POCs) Capacity Planning and Performance Tuning on Azure Stack and Spark.