Implementing projects based on Microsoft Azure cloud platform using Azure SQL technologies, Azure Data Factory, Azure Databricks, and Analysis Service
Designing, building, and managing SQL Server databases in the Azure cloud
Designing, building, and deploying SSIS packages to perform ETL into SQL Server
Data modelling and integrating data from various systems
Reviewing and implementing best practices for data manipulation
Creating and supporting Azure Data Factory pipelines
Requirements
At least 3 years of working experience with Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and SSIS), the SQL Server platform, and the Microsoft BI Stack (Analysis Services, Reporting Services, Tabular Models)
At least 5 years of experience with SQL and query optimization techniques and approache
Good knowledge of PySpark
Experience with the design and implementation of end-to-end BI and Data Engineering solutions
Experience working in Agile teams and working independently with customer stakeholders to provide solutions and regular updates
Proven experience with end-to-end implementation of DW/BI projects
Strong communication skills with regards to providing customers with technical insights as well as interpreting data for them
English language proficiency is a must, both verbal and written
Offer
Possibilities to learn from top experts on the market
Flexibility regarding remote work
Working for prestigious Fortune Global 500 brands
Numerous training sessions helping you gain technical certifications
A place in our Cloud Competency Centre
A chance to develop your cloud architecture skills
Work in an international environment and diverse community
Use of the latest data technologies
The #2 Best IT Workplace in Poland according to the 2019 and 2020 AudIT survey by Computerworld
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