Data Engineer
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.
Permanent Full-time (40 hours)
Monday – Friday 8:00am – 4:30pm (flexible)
Hybrid in the office in Coquitlam
Key Responsibilities:
We are currently moving from on-prem to the cloud. This is a leading role in this migration, you be a critical decision maker
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.
You have:
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.
You get:
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
Free onsite parking and bus pass reimbursement
Discounts on local and sustainable companies
Tuition reimbursement
This position is open to all qualified applicants who are legally entitled to work in the country in which this job is located. Only electronic applications can be accepted. This position will close when a competitive candidate pool has been identified. We thank you all for your applications and a member of our team will contact you soon. All the best!
All Internal applicants will be given priority for consideration for the first five business days that this position is posted. After that five days, Internal applicants will be considered along with all other applicants; however, are guaranteed at minimum a call from the Talent Acquisition team.
