Senior Business Intelligence Engineer/Data Engineer @ OEC

OEC

Kraków, małopolskie
Stała
Pełny etat

2 dni temu

Experience, Skills and Key Competencies

Engineer’s, Bachelor’s or Master’s Degree, in computer science, software development, mathematics or other relevant fields,
At least 5 years prior experience in business intelligence, data analytics and data warehouse reporting (understanding of BI/DWH concepts and Data modelling),
Strong Azure experience: Databricks & Data Factory
Good SQL skills (T-SQL,)
Experience with building ETL stream processing,
Work experience with Power BI and DAX/M/Tabular modelling,
Experience in working with MS Azure platform (DevOps, Data Factory)
Experience working with MS Visual Studio and Git
Attention to details and deadlines,
Curiosity, passion, willingness to learn, grow and to succeed as a data professional,
Proactive, self-organizing and solutions-oriented mindset
Advanced English language skills: speaking and writing

Nice to have skills

Experience in working with MS Fabric platform.
Experience working in an Agile environment
Experience working in Python

We are a team that focuses on creating tools and solutions that leverage the massive amout of data that OEC is processing each day.We create systems to support business intelligence, reporting and data warehouses.If you feel that Azure, T-SQL and Data Warehouses are the concepts that make your heart beat faster - let us know, we will have a lot in common.,[Develop and deploy systems to support business intelligence, reporting, data warehouse and integration with enterprise applications;, Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards. , Assists in the coordination efforts with management and end users to evaluate the business to support delivery of effective business intelligence , Assists with tabular and multi-dimensional modeling in addition to development of the Enterprise Data Warehouse. , Design and develop interactive dashboards and reports. Create and maintain documentation of processes, reports, applications, and procedures in accordance with department policy. ] Requirements: Data warehouses, Data warehouse, BI, T-SQL, DWH, Data modelling, SQL, ETL, Power BI, Azure, Databricks, Data factory, Python, Microsoft Fabric Tools: Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, Small teams, International projects, Free coffee, Bike parking, Shower, Free parking, In-house trainings, No dress code.

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