Principal Data Consultant with Azure

200 - 265 PLN/ godz.B2B
SeniorFull-time·B2B
#402636·Dodano 4 dni temu·4
Źródło: nofluffjobs.com
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Tech Stack / Keywords

Microsoft AzureAzure DataAzure Data FactoryCommunication skillsSparkPythonSQLPySparkBIQlikAzure SynapseMicrosoft FabricApache Superset

Firma i stanowisko

GFT Poland is a technology company with 1200 skilled experts focused on deep tech IT engineering and consulting. They partner with Google Cloud and deliver products contributing to a sustainable world.

Wymagania

  • At least 6 years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect
  • 4+ years of hands-on experience with Databricks
  • 4+ years of experience working with Microsoft Azure
  • 4+ years of experience with Azure Data Factory
  • Strong experience in data analysis and data modelling
  • Experience designing and implementing semantic layers for analytical solutions
  • Strong expertise in SQL
  • Strong expertise in Python
  • Experience with Spark / PySpark
  • Experience designing modern analytical and data warehousing solutions
  • Experience working directly with business stakeholders and leading technical discussions
  • Excellent communication skills and experience in client-facing environments

Nice to have:

  • Experience with BI tools such as Power BI, Qlik, or Apache Superset
  • Experience in consulting environments
  • Experience with Azure Synapse Analytics and Microsoft Fabric

Obowiązki

  • Design and develop scalable data pipelines using Azure Data Factory and Databricks
  • Build and maintain modern data platforms on Microsoft Azure
  • Design and implement semantic data models and semantic layers for analytics and reporting
  • Develop data transformation and processing solutions using Databricks (PySpark/Spark)
  • Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions
  • Lead technical discussions and provide architectural guidance to development teams
  • Design and optimize data models for analytical and reporting solutions
  • Ensure high standards of data quality, governance, metadata management, and security
  • Automate data processing workflows and implement DataOps best practices
  • Optimize the performance and cost of Azure-based data solutions
  • Support and mentor engineers within the project team

Benefity

  • Life insurance
  • Sport subscription
  • Training budget
  • Private healthcare
  • International projects
  • Free coffee
  • Bike parking
  • Free snacks
  • Free beverages
  • Free parking
  • In-house trainings
Karta sportowa
Dofinansowanie szkoleń
Opieka zdrowotna
Ubezpieczenie
Napoje w biurze
Darmowe przekąski
Parking dla rowerów
GFT Poland

GFT Poland

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