Senior Azure Data Engineer - ProCogia Vancouver, British Columbia, Canada Bookmark Share Print 88 0 0

Listing Description

Job Description

The Senior Data Engineering Consultant has the following responsibilities and duties: 

  • Create and maintain optimal data architecture pipeline.

  • Perform root cause analysis on internal and external data, processes and share insights with different stakeholders using reporting and visualizations tools.

  • Design infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources into Snowflake and other platforms.

  • Understand existing implementation and should enhance it as needed.

  • Work with other data engineers, data ingestion specialists, and experts across cross-functional teams.

  • Work on large datasets to meet functional and business requirements.


The Data Engineer Consultant should have the following skills, education and experience: 



  • Excellent SQL and Python skills

  • Experience with Spark programming language(s)

  • Experience with Docker/containerization

  • Expertise in designing efficient Data Models

  • Experience with ETL/ELT and familiarity of Data Warehouse concepts

  • Experience with Snowflake Data Warehouse

  • Strong knowledge across Microsoft Azure Tools.

  • Data pipeline and workflow management tools: Databricks (Spark + Python), ADF, Dataflow

  • Knowledge of API-based integration and security (Restful and SOAP)

  • Experience with Data Visualization tools such as Power BI etc.

  • Ability to learn fast and translate data into actionable results

  • Excellent written and communication skills with client stakeholders


  • Experience with JSON Programming

  • Experience developing and supporting scalable data pipelines

  • Solid Linux programming skills

  • Cosmos DB, Teradata, SQL Server (all nice to have)

  • Stream-processing systems: Streaming-Analytics, IoT Hub, Event Hub, Kusto Queries (all nice to have)



  • Bachelors in computer science, engineering, information technology or other related disciplines.


  • Masters or PhD in computer science, engineering, information technology or other related disciplines. 


  • An experienced professional will have at least 6+ years of professional experience in Data Engineering role with a Masters Degree or 8+ years of experience in a Data Engineering related role with a Bachelors degree.


Listing Details

  • Citizenship: Not Provided
  • Incentives: Not Provided


  • Education: Not Provided
  • Travel: Not Provided
  • Telework: Not Provided

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