Data Platform Engineer

3 weeks ago


Old Toronto, Canada Jobber Full time
About the Role

Jobber is a leading technology company that empowers small home service businesses to deliver exceptional customer experiences. We're seeking a highly skilled Data Platform Engineer to join our MLOps team, driving innovation and operational excellence across our organization.

Responsibilities
  • Design and develop a comprehensive ML platform from scratch, enabling data scientists and ML engineers to efficiently build, deploy, and manage machine learning models.
  • Collaborate with cross-functional teams to define project scope, requirements, and success criteria, ensuring alignment with business objectives.
  • Create robust data pipelines to process raw structured and unstructured data, building features for feature stores to support diverse ML use cases.
  • Oversee the complete MLOps lifecycle, including requirements gathering, data cleaning, model development, production deployment, monitoring, and maintenance.
  • Conduct feasibility analyses through proofs-of-concept (POCs) and provide data-driven recommendations on preferred approaches, tools, and products within the open-source MLOps ecosystem.
  • Implement and optimize end-to-end MLOps pipelines for model training, evaluation, and deployment, ensuring scalability and efficiency.
  • Establish best practices for version control, testing, and monitoring of ML models, promoting reproducibility and reliability.
Requirements
  • Background in software or data engineering with a strong proficiency in Python programming.
  • Possess polished communication skills with a proven record of leading work across disciplines.
  • Extensive experience with Apache Spark for large-scale data processing.
  • Expertise in containerization, particularly Docker and CI/CD technologies.
  • Experience designing and implementing RESTful APIs.
  • Familiarity with AWS services, including ECS Fargate, EMR, and AWS Glue.
  • Proven track record of building and maintaining complex ETL pipelines.
  • Experience with workflow management tools, specifically Apache Airflow.
  • Proficiency in using dbt for data transformation and modeling.

We offer a competitive salary of $140,000 per year, reflecting the demands and expectations of this role.



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