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
Valuable 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 (Valuable 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

Positive 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.

Skills
PySpark, SQL, Data engineering, Data Warehouse (DWH) and Spark

📌 Data Engineer Pyspark+sql Bengaluru
🏢 Fragma Data Systems
📍 Bengaluru