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Senior Data Warehouse Analyst (ETL Developer) to design, develop, deploy, and test end-to-end data pipelines and data models - RFC-2024-030

Vancouver, BC
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

S.i. System's client is looking for an Senior Data Warehouse Analyst (ETL Developer) to design, develop, deploy, and test end-to-end data pipelines and data models


This is a 8-month contract to start with chances of extension. This is a hybrid model, looking for candidates open to coming to the office once a week at their New Westminster office.


MUST HAVES:

  • 10+ years’ experience with Business Intelligence/Data Analytics
  • Hands-on experience with a range of Azure Services, including ADF/Azure Databricks, Delta Lake, Azure Data Lake Storage, Azure Synapse, Power BI Report and Crystal Report.
  • Hands-on experience with authoring Power BI reports, exposure to Power BI Cloud.
  • Experience designing, building, and maintaining ETL/ELT data pipelines, (preferably Azure Data Factory).
  • Demonstrated ability to interact professionally with a diverse group of executives, managers, supervisors, subject matter experts and end users.
  • Skilled at facilitating and managing consultation processes with a wide range of stakeholder groups.
  • Proven experience with gathering and analyzing functional and technical requirements and information from key business areas and stakeholder groups.
  • Excellent interpersonal skills combined with highly developed communication skills, both verbal and written


Nice to Have:

  • Hands-on experience with Spark (PySpark/Python) in Azure.
  • Experience with data migration from on-prem to cloud (preferably Azure Data Factory).
  • Strong knowledge and experience designing Data Lakes and Data Warehouses.
  • Hands-on knowledge of Azure SQL Data Warehouse architecture and best practices.
  • Extensive knowledge of Dimensional Modelling and Kimball EDW principles Understanding of Azure
  • Managed Instance.
  • Experience working with Data Lakes and Data Marts.
  • Ability to work with large volumes of data from multiple sources.
  • Microsoft SQL Server SSIS/SSRS/ETL.
  • Experience in Azure IaaS, PaaS and Database migration.
  • Experience working with external vendors.
  • Experience working in a unionized environment.
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