Data Ops Developer

Oakville, ON, Canada

Applications have closed

Geotab Inc.

Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.

View company page

Who we are:
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, Twitter or Facebook. Join our talent network to learn more about job opportunities and company news.
Geotab cares about your safety. You may be required to be vaccinated based on the nature of your work (ex: travel requirements) or due to changing local governmental health requirements.
Who you are:We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Ops Developer who will be responsible for the development of scalable and reusable pipelines that minimize time from insight to production. 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 Ops Developer, your key area of responsibility will be to collaborate with data analysts and data scientists to design innovative pipelines using new tools and frameworks. You will need to work closely with the Data Strategist and Data Quality experts to ensure all data assets are delivered with the highest quality, with the right schema and into the right location. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts.

How you’ll make an impact:

  • Design, optimize and maintain SQL queries used for creating data products.
  • Advance your SQL knowledge to ensure queries leverage most recent advancements.
  • Deploy and maintain ETL/ELT pipelines using SQL, Python and Airflow.
  • Design and publish reusable pipeline templates (i.e. templates for data integration, derived metrics, reporting, custom runs).
  • Collaborate with data analysts and data scientists to develop complex pipelines involving big data tools (i.e. Spark, Apache Beam, GKE, Kafka, Docker).
  • Lead optimization of pipelines based on requirements and pipeline performance.
  • Ensure metadata is captured and stored across the pipeline lifecycle (i.e. creation, execution, deprecation/update).
  • Participate in a 24x7 on-call rotating schedule (if applicable).

What you’ll bring to this role:

  • Post-secondary Degree/Diploma specialization in Computer Science, Engineering, Mathematics, or a related field.
  • 1-3 years experience in Data Engineering or a similar role. 
  • 1-3 years of experience with SQL and ETL/ELT production pipelines in Python.
  • Knowledge of data management fundamentals and data modeling principles.
  • Experience with Big Data environments (e.g. Google BigQuery) is an asset.
  • Experience with CI/CD processes and tools, such as Gitlab runners or Jenkins is required.
  • Knowledge of workflow orchestration tools is required (e.g. Apache Airflow)
  • Experience working in a cloud based infrastructure, especially Google Cloud Platform, is an asset.
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.
Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonus & parental leave top up programHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive 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 first 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!
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals.  We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. Click here to learn more about what happens with your personal data.

Tags: Airflow Big Data BigQuery CI/CD Computer Science Data Analytics Data management DataOps Data quality Docker ELT Engineering ETL GCP GitLab Google Cloud Kafka Machine Learning Mathematics Pipelines Python Security Spark SQL

Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Team events

Region: North America
Country: Canada
Job stats:  9  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.