Data Operations Developer

Data Operations Developer

Geotab® is a global leader in IoT and connected transportation and certified "Great Place to Work™." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab.

Data Operations Developer

Geotab is seeking a Data Operations Developer who will be responsible for the development of scalable and reusable pipelines that minimize time from insight to production. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What You'll Do

As a Data Operations Developer, your key area of responsibility will be designing, building, and optimizing automated end-to-end data pipelines (ETL/ELT) while ensuring data quality and governance. You will be responsible for the implementation of the project tasks, as well as managing day-to-day activities. You will also need to provide regular status reports to key partners to ensure the project is on time and meeting expectations. You will need to work closely with Product groups including data analysts, data scientists, and stakeholders of internal business applications.

How You'll Make an Impact

• Data Pipeline Development & Optimization: Design and build automated ETL/ELT processes using tools like Apache Airflow to extract, transform, and load data into Google BigQuery or data lakes.
• Orchestration and Automation: Automate repetitive tasks within Apache Airflow, such as data ingestion and quality checks, to improve organizational efficiency.
• Performance Optimization: Continually monitor and optimize the performance and reliability of data pipelines to handle growing data volumes.
• Data Quality & Governance: Build automated tests and validation rules to identify and fix data issues, ensuring all data processes comply with regulations and standards.
• Release Management: Coordinate with development and operations teams to manage the smooth deployment of new or updated pipelines using robust version control. Collaboration & Support: Work cross-functionally to understand data needs and provide troubleshooting support to resolve data-related issues in a timely manner.
• On-Call Support: Participate in a 24x7 on-call rotating schedule as required to ensure pipeline reliability.

What You'll Bring to the Role

• 3-5 years of experience in Data Engineering or a similar role.
• 3-5 years of technical experience with Structured Query Language (SQL) and building ETL/ELT production pipelines in Python.
• Post-Secondary Diploma/Degree specialization in Computer Science, Engineering, Mathematics, or a related field.
• Required knowledge of workflow orchestration tools (e.g., Apache Airflow) and CI/CD processes/tools like GitLab runners.
• Experience working in cloud-based infrastructure, specifically Google Cloud Platform (GCP) and Big Data environments like BigQuery.
• Familiarity with Linux command line, Jira for issue management, and Python package development is highly regarded.
• Highly organized with the ability to engage with all levels of the organization and a flexibility to stay current with technology trends.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

Why Job Seekers Choose Geotab

Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program

*The above are offered to full-time permanent employees only

How We Work

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

Geotab verifies candidates' eligibility to work in the United States through E-Verify, an internet-based system operated by U.S. Citizen and Immigration Services.