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Vaughan

    Senior Data Engineer - Vaughan, Canada - GFL Environmental

    GFL Environmental
    GFL Environmental Vaughan, Canada

    2 weeks ago

    Default job background
    Full time
    Description
    We are seeking a Senior Data Engineer with specialized experience in Data Lakehouse and AWS technologies to design, develop, and optimize our data management systems. The ideal candidate will have a strong foundation in data architecture and data engineering principles, with extensive experience in AWS cloud services. This role involves managing large datasets, ensuring data integrity, and providing scalable data storage, processing, and analytics solutions.

    Key Responsibilities:

  • Develop and maintain scalable and secure data architectures using AWS services like S3, Redshift, Glue, and Athena
  • Design and implement efficient data pipelines within the AWS environment, facilitating seamless data integration and accessibility
  • Leverage AWS analytics and machine learning services to enhance business insights and decision-making processes
  • Ensure data governance, quality, and compliance within our AWS-based data lakehouse infrastructure
  • Experience building and optimizing 'big data' data pipelines, architectures, and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Collaborate with various teams to understand data needs and deliver innovative cloud-based data solutions
  • Stay updated with the latest AWS technologies and data lakehouse trends to keep our data infrastructure at the forefront of innovation

    • Knowledge, Skills, Abilities and Competencies:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Extensive experience with AWS services, particularly in data warehousing and analytics (certifications preferred)
  • Proficiency in SQL, Python, or Scala for data processing and pipeline development
  • Strong understanding of data lakehouse architecture and experience in implementing such systems
  • Solid background in data engineering practices, including data modeling, ETL development, and data warehousing
  • Excellent problem-solving abilities and strong communication skills
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