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Data Engineer
Data EngineerRedlen Technologies Inc. • BC, CA
Data Engineer

Data Engineer

Redlen Technologies Inc. • BC, CA
11 days ago
Job type
  • Full-time
Job description

Job Description

Why Redlen Technologies?

Redlen Technologies is a pioneering company that has revolutionized the semiconductor crystal growth and fabrication process.

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.

Key Responsibilities

ETL Process Management

  • Contribute to and support the design, build, and maintenance of efficient and reliable ETL processes.
  • Extract data from various sources, transform it to fit operational needs, and load it into the final target database.
  • Optimize and fine‑tune ETL processes for improved performance and reliability.

Data Modeling and Warehousing

  • Contribute to the development and maintenance of scalable data 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 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.
  • Experience and Qualifications

  • BA or MA in Computer Science, Information Technology, or related field.
  • A minimum of 2 years of experience in data warehousing, data engineering, business intelligence and ETL processes.
  • Strong knowledge of SQL and experience with relational databases.
  • Experience with ETL tools (e.g., Informatica, Talend, SSIS).
  • 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.
  • Preferred Qualifications

  • Experience with cloud data warehousing solutions (e.g., AWS Redshift, Google BigQuery).
  • Familiarity with JMP, Python or R for data processing.
  • Experience in a manufacturing data environment.
  • Skills and Competencies

  • Highly innovative and collaborative, thriving in a team environment.
  • Excellent oral and written communication skills.
  • Strong project and time management abilities.
  • Outstanding interpersonal skills with the ability to work independently.
  • Demonstrated positive attitude, self‑motivation, and commitment to continuous improvement.
  • Salary Range : $82,000 - $102,000 CAD

    At Redlen, we prioritize clarity in our hiring process. The salary range posted above reflects the minimum and maximum for new hire salaries, taking into account factors such as job‑related skills and expertise, relevant training and education, and business needs. It is common for ranges to span multiple levels in order to attract top talent across experience levels. It is uncommon to be hired at the top of the range; however, in exceptional cases where a candidate’s skills and expertise significantly exceed the role’s requirements, we may consider offering a higher salary. If you believe your skill set falls outside this range and you’re interested in exploring opportunities with Redlen, please reach out to our People & Culture Team, specifying how your expertise aligns with our teams, so we can collaborate on potential opportunities. We believe in developing those that demonstrate quality performance and promise.

    Total Rewards and Benefits

  • Competitive salary and performance‑based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • RRSP retirement plan with employer match.
  • Generous paid time off and holidays.
  • Vibrant and inclusive workplace culture.
  • #J-18808-Ljbffr

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    Data Engineer • BC, CA

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