Senior Data Platform Developer, Infrastructure

Who you are

You have 5+ years of experience in data engineering, focusing on building and optimizing data pipelines that handle large volumes of data. Your expertise in AWS and Python allows you to create scalable solutions that meet business needs effectively. You are proficient in SQL and have experience with data warehousing concepts, ensuring data integrity and accessibility for analytics.

Your background includes working with Apache Spark and Kafka, enabling you to process and analyze streaming data efficiently. You understand the importance of data quality and have implemented best practices for data governance and security. You are also familiar with Docker, which you use to containerize applications for easier deployment and management.

You have a solid understanding of machine learning concepts and have collaborated with data scientists to deploy models into production. Your ability to communicate complex technical concepts to non-technical stakeholders makes you a valuable team member. You thrive in collaborative environments and enjoy mentoring junior engineers, sharing your knowledge and experience to help them grow.

Desirable

Experience with Elasticsearch is a plus, as it enhances your ability to work with large datasets and perform complex queries. Familiarity with additional cloud platforms or tools will also be beneficial in this role.

What you'll do

As a Senior Data Platform Developer at Geotab, you will be responsible for designing and implementing data pipelines that support the company's IoT initiatives. You will work closely with cross-functional teams to understand their data needs and develop solutions that provide actionable insights. Your role will involve optimizing existing data processes and ensuring that data flows seamlessly across various systems.

You will leverage your expertise in AWS to manage cloud resources effectively, ensuring that the infrastructure is robust and scalable. You will also be involved in the deployment of machine learning models, collaborating with data scientists to integrate predictive analytics into the data platform.

Your responsibilities will include monitoring data quality and performance, troubleshooting issues, and implementing improvements to enhance system efficiency. You will participate in code reviews and contribute to the development of best practices for data engineering within the team.

What we offer

Geotab provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge technologies in the IoT space, contributing to solutions that impact fleet management and transportation safety. We offer competitive compensation and benefits, along with a culture that values diversity and inclusion. Join us to make a meaningful impact in the world of connected transportation.