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

- Positive 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.

Skills

- Windows Azure, ADF, PySpark, SQL, Azure and Data engineering

📌 Azure Data Engineer (Hyderabad)
🏢 Fragma Data Systems
📍 Hyderabad