Data Operations Developer

About the role

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. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram .

Responsibilities

• 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.
• 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.
• Ability to pass an enhanced background check, including a drug screening test (if applicable) and a credit check.
• If you got this far, we hope you're feeling e

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