Data Ops Developer
Atlanta, Georgia - USA
Geotab
Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Ops Developer to develop and maintain data pipelines. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:The Data Ops Developer is the foundation of Geotab’s data engineering capabilities. They are responsible for the development of scalable and reusable pipelines that minimize time from insight to production. The role continuously collaborates with data analysts and data scientists to design innovative pipelines using new tools and frameworks. They also 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.
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.
- Contribute to development of data integration connectors to extract external data.
- Manage pipeline releases through Git and CI/CD.
- Ensure metadata is captured and stored across the pipeline lifecycle (i.e. creation, execution, deprecation/update).
- Support remediation of issues within production pipelines.
- Collaborate with data quality analysts and specialists to ensure all pipelines include automatic quality checks.
- Recommend features and enhancements to infrastructure and pipeline framework.
- Contribute to the migration of data assets and pipelines from legacy data structures.
- Participate in a 24x7 on-call rotating schedule.
- Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
- 3-5 years experience in Data Engineering or a similar role.
- 3-5 years of experience with SQL.
- 3-5 years of experience building 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).
- Knowledge of Linux and command line commands is an asset.
- Experience working in a cloud based infrastructure, especially Google Cloud Platform, is an asset.
- Previous experience with python package development is highly regarded.
- Excellent oral and written communication skills.
- Strong analytical skills with the ability to problem solve well-judged decisions.
- Highly organized and able to manage multiple tasks and projects simultaneously.
- Entrepreneurial mindset and comfortable in a flat organization.
- Must stay relevant to technology and have the flexibility to adapt to the growing technology and market demands.
- Strong team player with the ability to engage with all levels of the organization.
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. 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, Alex Cocq 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 learn more about what happens with your personal data.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data BigQuery CI/CD Computer Science Data Analytics Data management DataOps Data pipelines Data quality Docker ELT Engineering ETL GCP Git GitLab Google Cloud Jenkins Kafka Linux Machine Learning Pipelines Privacy Python Security Spark SQL
Perks/benefits: Career development Competitive pay Flex hours Health care Medical leave Parental leave Salary bonus Team events
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