Description
The following are minimum requirements related to the Principal Data Engineer position.• Bachelor’s degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
• 10+ years of ETL design, development, and performance tuning on Microsoft SSIS in SQL Server 2012 and above (2016 preferable) in a multi-dimensional Data Warehousing environment
• 10+ years of SSAS design, development, maintenance and performance tuning on Microsoft SQL Server 2012 and above (2016 preferable), with expert MDX and DAX skills
• 10+ years of advanced SQL Programming: PL/SQL, T-SQL, U-SQL• 7+ years of Enterprise Data & Analytics solution architecture
• 2+ years of Power BI experience including mobile solutions
• 2+ years of strong and extensive hands on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
The following are strongly desired:
• Experience with Azure Data Lake, Azure SQL Data Warehouse, Data Catalog, Azure Analysis Services, Data Bricks, Storage Account Gen2, Azure SQL Database, Azure DNS, Virtual Network, DocumentDB, Azure App Service, Data Factory• Experience with Big Data Technologies such as: Hadoop, Sqoop, Hive, Kafka, Spark, Pyspark, Python, Scala or Pig• Experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, avro, parquet, copybook, etc.)
• Experience with setting up and operating data pipelines using Python or SQL
• Strong analytical abilities and a strong intellectual curiosity