Data Engineer

7 days ago

Winnipeg, Manitoba, Canada Lotlinx Full time

Lotlinx is seeking a highly skilled Data Engineer to join our team in Winnipeg. In this role, you will design, develop, and maintain our analytics infrastructure, enabling data-driven decisions across the organization. You will collaborate closely with data scientists, analysts, and product teams to ensure our analytics systems are scalable, reliable, and efficient.

Key Responsibilities:

  • Design and Develop Analytics Infrastructure: Create and maintain a robust analytics infrastructure that supports data-driven decision making.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, analysts, and product teams to understand their requirements and provide tailored solutions.
  • Develop and Maintain ETL Pipelines: Design and implement ETL pipelines to extract, transform, and load data from various sources.
  • Manage Data Models and Warehouses: Develop and maintain data models and data warehouses, primarily utilizing BigQuery.
  • Develop and Maintain Dashboards and Reports: Create and maintain dashboards and reports using data visualization tools to provide actionable insights to stakeholders.
  • Optimize Queries and Data Processing: Optimize queries and data processing tasks for scalability and performance, especially when working with big data.
  • Ensure Data Quality and Accuracy: Ensure data quality and accuracy across all Lotlinx analytics platforms.
  • Stay Up-to-Date with Industry Trends: Stay current with the latest technologies and trends in analytics and data engineering.

Requirements:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Experience: 3+ years of experience in analytics engineering or data engineering.
  • Technical Skills: Strong programming skills in Python, SQL, and shell scripting. Experience with data modeling, ETL, ELT processes, data warehousing, and data visualization.
  • Cloud-Based Analytics Platforms: Proficiency in cloud-based analytics platforms such as AWS, GCP, or Azure.
  • Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team.

Nice to Have:

  • dbt or Related Technologies: Experience with dbt or related technologies.
  • Apache Airflow, Apache Pinot, and OpenSearch: Working knowledge of Apache Airflow, Apache Pinot, and OpenSearch.
  • Meta Database Engineer Professional Certificate: Meta Database Engineer Professional Certificate.

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