Data Platform Developer - C# Data & Analytics Atlanta, Georgia

+3
+5
United States

+3
+5
United States

À propos

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 ourblog and follow us @InsideGeotab onInstagram . Join ourtalent network to learn more about job opportunities and company news. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Platform Developer to develop and maintain new Machine Learning platforms. 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 Platform Developer will be building a machine learning platform which supports the machine learning data pipelines and models lifecycle management for the data science team on Google Cloud Platform. This position will devise new methodologies and infrastructure for reconstructing and enriching data at scale, while supporting internal data scientists who leverage the big data environment to build, train, and deploy machine learning models. 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 Develop and maintain new machine learning platforms managing the data pipelines and machine learning model workflow for Geotab's internal models. Develop processes to enrich Geotab's big data with telematics data at scale. Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's machine learning platform and models. Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives. Create and maintain documentation for architecture, requirements, and process flows. Support internal Geotab teams to assist with data integration with newly developed big data platforms. What you'll bring to the role Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field. 3-5 years experience in machine learning platform developer or a similar role. 3-5 years experience in developing production-level systems using Python 3 3-5 years experience in Tensorflow, PyTorch, Scikit-Learn or similar machine learning frameworks 1-5 years experience in either cloud or on-premise machine learning workflow tools such as Vertex AI, SageMaker, Kubeflow, or MLflow. 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift. Knowledge of Apache Kafka, Apache Flink, Apache Ignite, or Apache Airflow is a big plus. Knowledge of Java and Spring Boot is a big plus. Knowledge of gRPC, Protobuf, Apache Avro, Apache Beam is a plus. Knowledge of data management fundamentals and data storage principles. Knowledge of batch and streaming data architectures. Experience with API design and implementation. Familiar with Big Data environments (e.g. Google BigQuery). Strong analytical skills with the ability to problem solve well-judged decisions. Highly organized and able to manage multiple tasks and projects simultaneously. Strong team player with the ability to engage with all levels of the organization. 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. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. 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 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 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. 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 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@. 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. #J-18808-Ljbffr

Compétences idéales

Docker
Kubernetes
PyTorch
Scikit-learn
TensorFlow

United States

Expérience professionnelle

Data Engineer
Machine Learning
Data Infrastructure

Compétences linguistiques

English

Avis pour les utilisateurs

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