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    Senior Data Engineer - Vancouver, Canada - Kabam

    Kabam
    Kabam Vancouver, Canada

    2 weeks ago

    Default job background
    Full time
    Description

    At Kabam, we're constantly raising the bar of excellence in free-to-play gaming. We hire for passion and diversity so that we can triumph in our collective skill. Our teams are made up of a fusion of personalities and interests bound together by a collaborative nature, fun-loving culture, and a drive to do what it takes to make great games. And this is where you come in...

    Reporting to the Director, Data Engineering, the Senior Data engineer will work with software engineers for data ingestion validation; work with data analysts and BI for data modeling, data pipeline implementation and data transformation in EDW; work with Data scientist for data availability; and support on data governance for data management.

    Key Accountabilities


  • Develop, construct, test and maintain Data technologies within the scope of Data Engineering
  • Review and refine the current data engineering technologies in GCP to increase the scalability to match with the company's vision.
  • Oversee all technical aspects of data engineering and data governance , including Data Catalog and Data security
  • Participate in and implement the Data Governance initiatives
  • Align the data engineering deliverables with business requirements by collaborating with product, marketing and data analytics partners
  • Implement and manage data acquisition including data ingestion, data modeling and data transformation
  • Identify ways to improve data reliability, efficiency and quality
  • Develop data handling processes
  • Oversee ETL/ELT transformations in Data Warehouse and Data Lake
  • Deploy data integrations with information systems, machine learning and statistical methods


    • Qualifications and Experience


  • 5+ years of related experience
  • University degree in Computer Science and certifications, high performance indicating strong technical capabilities
  • Experience in Cloud Platform and architecture (GCP preferred)
  • High technical proficiency in Cloud data architecture, data warehousing and data management
  • High proficiency implementing and using data engineering technologies
  • High proficiency in database management – SQL queries, database design, data warehouse design, database architecture, data system architecture, data integration
  • Data Warehousing Skills: Data modeling, ETL/ELT, and development standardization
  • Experience in SQL ,Python,Golang,Ruby,Perl,Scala, Java,SAS,R,MatLab,C or C++
  • Preferred experience in working with Google Cloud and Bigquery such as DataForm, DataFlow, Composer, DataPlex, TerraForm, Workflow, EventArc and more
  • Experience with NOSQL databases like MongoDbGaming industry background is a plus
  • Familiarity with Data ingestion - CI/CD Pipeline creation, event driven
  • Basic understanding of machine learning, Data Analysis, ETL / elt, Automation (Deployment)
  • Strong communication and collaboration skills, able to communicate technical concepts to non-technical audience
  • Logical thinking and problem solving
  • Strong documentation skills; organization and ability to simplify complexity
  • Continuous professional improvement to learn and apply current best practices
  • Customer-oriented work ethic, with a focus to advise and deliver value to business stakeholders
  • Ability to work independently, with a management mindset
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