Data Operations Developer Data & Analytics

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 different 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. To see what it’s like to be a Geotabber, check out ourblog and follow us @Inside Geotab on Instagram . Join ourtalent network to learn more about job opportunities and company news.

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!

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.

• Data Pipeline Development & Optimization:
  Design and build automated ETL/ELT processes using tools like Apache Airflow to extract, transform, and load data into Google Big Query 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.

• 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 Git Lab runners.
• Experience working in cloud‑based infrastructure, specifically Google Cloud Platform…