3 Years of professional experience, in dataengineering/data warehousing enterprise or related experience, Required.
Knowledgewith data warehouse architectures, dimensional models, star schema designsand/or in-memory/columnar databases
Demonstratedability to write complex SQL, T-SQL queries
Workingknowledge in Microsoft BI stack; Specifically, Power BI & Data Factory
Proficientin working in Microsoft Azure services and/or other cloud computing environment
Knowledgeableon programming languages such as Spark, Spark SQL, R, Python, Java and/or Scala
Experiencewith Database Management Systems (DBMS), specifically SQL and NoSQL.
Knowledgewith API / RESTful data services
Experiencewith big data technologies such as Spark, Databricks, Hadoop, Hive, etc.
Responsiblefor full development cycle of Data Engineering & Warehousing concepts,including requirements gathering, architecture, design, implementation, andmaintenance
Identifyand resolve data issues to ensure the quality and consistency of data;determine and implement opportunities for automation.
Continuouslydevelops an understanding of the data and data models within the datawarehouse, as well as an understanding of supported business domains.
Communicateeffectively, both orally and written, to varied levels of the organization toinclude technical personnel, business managers, and senior leadership,regarding data inquiries and requests.
Conductsand may facilitate internal testing & user acceptance testing.
Developtechnical specifications and design documents.