Good written and verbal communication skills
Ability to work with geographically diverse teams via collaborative technologies.
Good knowledge of Azure Cloud BI stack
Proven skills in SQL, Python and/or Pyspark for data ETL/ELT, DAX
Additional skills in one or more: Hadoop (NoSQL), Kafka / MS IoT Hub for streaming, Data Science python libraries (SciKit, NumPy, ML and Auto-ML)
Proven desire and ability to learn on-the-job
Azure certifications is a plus
comfortable work time
development in fast growing company
careness about employees
very competitive salary
Work with Product Owners and Business Analysts to understand business data and related processes.
Using Agile and Dev/Ops methods, build BI applications using a variety of data sources (on-premise such as SQL Server, cloud IaaS/ PaaS, mostly Azure, sometimes Google Big Query/AWS).
Implement rules & automate data cleansing, mapping, transformation, logging, and exception handling.
Design, build, and deploy databases and data stores
Design, build and deploy data presentation layers (cubes)
Participate in cross-functional teams to promote technology strategies, analyze, and test products, perform proofs-of-concept, and pilot new technologies and/or methods.
Establish and document standards, guidelines, and best practices for teams utilizing the solutions.
Review vendor-built solution designs to ensure technology appropriateness, standards compliance, and platform capacity alignment
lets talk about in on the interview =)