Base pay range
This range is provided by Fragma Data Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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
- Excellent experience in Big Data programming for data transformation and aggregations
- Strong 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
Skills: Python, SQL, Spark, Windows Azure and PySpark
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Software Development Engineer II - Python, PySpark, SQL
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