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Bi & etl developer — analytics focus (hybrid)

Setúbal
Banco Finantia
Anunciada dia 20 abril
Descrição

Job BriefWe are looking for candidates with 5 or more years of relevant experience in BI.
Please find the technologies highlighted below which are critical for the Next Gen BI Developer/Data Engineer role.
Remote Work From PT.
ResponsibilitiesEnglish level C1
Excellent communication and interpersonal skills
Confident, driven and strong determination to succeed
Extremely well organised, detail oriented when dealing with complex business change
High levels of personal energy
A professional and flexible attitude while multi-tasking at an extremely fast pace
Acts swiftly and decisively
Manages rapidly changing priorities with a calm attitude and professional manner
Shows dedication and commitment to ensure work is completed within timescales
Passionate about providing an exceptional BI experience to our users
A strong customer led work ethic and the ability to work well under pressure
Maintain complete confidentiality and discretion at all times
Seeks to understand and support change
Excellent English language skills, both written and verbal
Skills RequiredBI Technology PlatformsMicrosoft Azure Databricks (Delta Live Tables)
Microsoft Azure Synapse Analytics
Microsoft Azure Data Factory
Microsoft Azure Data Lake
Microsoft Azure Analysis Services / SQL Server Analysis Services
Microsoft SQL Server Database
Microsoft Power BI
Microsoft SQL Server Integration Services (SSIS)
Microsoft SQL Server Master Data Services (MDS) (~)
Microsoft SQL Server Reporting Services (SSRS) (~)
Development ToolsVisual Studio Database Project
Visual Studio Code
Tabular Editor (~)
GIT Source Control (should be comfortable with safely resolving conflicts)
SQL Server Management Studio
Azure Data Studio (~)
Azure DevOps Boards/Pipelines (~)
Able to author code that is easy for other developers to understand and performs appropriately.
LanguagesDAX
T-SQL
Markdown
PowerShell (~)
Python (~)
C# (~)
CSV (~)
JSON (~)
XML (~)
Regular Expressions (~)
Solid understanding of Kimball data warehouse design principles allowing confident explanation of design decisions and rejected alternatives.
Able to understand business processes and translate those into a Kimball model.
Understanding of both manual and automated test practices to assure system integrity.
Able to use efficiently data analysis tools and methods to understand and validate data according to the question in-hand.
#J-*****-Ljbffr

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