Data Operations Developer
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! 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.
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:
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC's Know Your Rights poster. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.Apply for this job
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