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Factors Group is a leading wellness company committed to leveraging data-driven insights to enhance decision-making and drive innovation. We are a large manufacturing company seeking an experienced Data Engineer to join our team and contribute to the modernization and development of our data infrastructure. As a Data Engineer at Factors Group, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our growing data needs. Collaborating closely with cross-functional teams, you will have the freedom to experiment to see which tools suit our needs best to ensure the reliability, efficiency, and accessibility of our data.
Job Responsibility:
Design, build, and maintain robust, scalable data pipelines and ETL processes to ingest, transform, and store structured and unstructured data from various sources
Optimize data workflows for performance, reliability, and cost-effectiveness, utilizing best practices in data engineering and cloud computing
Collaborate with Data Analysts to understand data requirements and implement solutions to enable advanced analytics and machine learning
Develop and maintain data models, schemas, and metadata to ensure data integrity, consistency, and quality
Implement monitoring, logging, and alerting systems to proactively identify and address data pipeline issues and performance bottlenecks
Stay current with emerging technologies and trends in data engineering, recommending and implementing improvements to enhance our data infrastructure and processes
Provide technical guidance and mentorship to junior team members, fostering a culture of collaboration, learning, and innovation
Requirements:
Bachelor's or Master's degree in Computer Science, or a related field
5+ years of experience in data engineering or a similar role, preferably in a fast-paced, data-intensive environment
Proficiency in programming languages such as Python, with experience in building data pipelines using frameworks like Apache Spark
Strong SQL skills
Hands-on experience with cloud platforms such as Azure or Fabric, and related services like Databricks, Snowflake, Azure Data Factory, Fabric Data Factory
Familiarity with containerization and orchestration tools like Docker and Kubernetes
Excellent problem-solving skills and the ability to work independently and collaboratively in a dynamic team environment
Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders
What we offer:
Great healthcare benefits (including health and personal spending accounts)
Company provided RRSP
Vacation and wellness days - 5 weeks in total
Employee appreciation events and wellness sessions
$300 per year to spend on company products plus discounts on our products
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