Data Engineer

Redlen Technologies Inc.•Central Saanich, BC

24d

About The Position

At Redlen Technologies, innovation is at the heart of everything we do. Our founder's visionary work with the Canadian Space Agency laid the foundation for our groundbreaking Cadmium Zinc Telluride (CZT) sensors, revolutionizing medical imaging, security imaging, and non-destructive testing. We are driving a quantum leap forward in medical CT scanners, elevating diagnostic accuracy while reducing radiation dose– a technological feat that has earned us global recognition. With a commitment to excellence, we have earned the trust of Fortune 500 industry customers, leading to our acquisition by Canon Inc. for $430M– a testament to our industry leadership. With over 200 dedicated professionals, we take pride in fostering a work environment where Science, Technology, Engineering, and Math (STEM) professionals thrive. As an equal opportunity employer we demonstrate that diversity drives innovation, and we are passionate about building a future where every employee contributes to our mission-driven success. Redlen's teams, mirroring the multifaceted diversity of Canadian society, exemplify our commitment to leveraging a wide range of ideas and backgrounds as a driving force for innovation, business excellence, and pioneering advancements in STEM. As a Data Engineer at Redlen, you will be supporting the design, development and maintenance of scalable data warehouse solutions that support enterprise-wide analytics and reporting. This role supports data integrity, optimal performance, and collaborates with cross functional teams to implement business needs into actionable insights. You will work closely with IT and business intelligence teams to ensure the accuracy, availability, and accessibility of data.

Requirements

BA or MA in Computer Science, Information Technology, or related field.
A minimum of 2 years of experience in data warehousing, data engineering, analytics engineering, or business intelligence
Strong knowledge of Python and SQL and experience with relational databases.
Experience with ETL/ELT tools (e.g., dbt, Airflow, Dagster)
Proficiency in data visualization tools (e.g., Tableau, Power BI).
Strong technical competency in data modeling and data warehousing concepts.
Excellent analytical and problem-solving skills
Knowledge of software engineering best practices including coding standards, code reviews, continuous deployments, and testing
Experience with version control (Git)

Nice To Haves

Experience with cloud data warehousing solutions (e.g., Azure, Snowflake, Databricks).
Familiarity with JMP and/or Python for data processing.
Experience in a manufacturing data environment
Familiarity with modern data lakehouse architectures (e.g., Apache Iceberg, Delta Lake, Apache Hudi)
Experience with big data processing frameworks (e.g. Apache Spark, Dask)

Responsibilities

ETL/ELT Process Management: Contribute to and support the design, build, and maintenance of efficient and reliable ETL/ELT processes.
Optimize and fine-tune ETL/ELT processes for improved performance and reliability.
Data Modeling and Warehousing: Contribute to the development and maintenance of scalable data models and schemas.
Ensure data quality and integrity in the data warehouse.
Implement robust data warehouse solutions, optimized for performance, scalability and usability.
Data Visualization and Reporting: Create and maintain dashboards and reports for business users.
Translate business requirements into technical specifications for data visualization.
Use data visualization tools to present data in a way that is easy to understand and actionable.
Governance and Security Adhere to data governance policies are followed and compliance with data privacy regulations.
Monitor data access controls and security protocols and elevate requests when required.
Monitor and test disaster recovery and backup plans.
Collaboration and Support: Collaborate with IT and business teams to understand data needs.
Provide technical support and training to end-users on data visualization tools.
Keep abreast of industry trends and advancements in data warehousing and visualization technologies.