As an Intermediate Data Engineer, you'll play a crucial role in optimizing data processes and collaborating with various teams. This position is ideal for someone who enjoys hands-on work and is passionate about data-driven solutions.
dynamic and tech-focused
In this role, you'll be responsible for developing and optimizing data pipelines that support various business functions. You'll work closely with teams across Product, Business Intelligence, Engineering, and Operations to ensure that data is accurate and accessible for AI and machine learning initiatives. Your hands-on experience will be essential in taking ownership of these processes and driving improvements.
Your day-to-day tasks will include: • Designing and implementing data processing solutions • Collaborating with cross-functional teams to gather requirements • Monitoring system performance and troubleshooting issues • Ensuring data quality and integrity across platforms
This position is well-suited for someone with a solid background in data engineering and a passion for working with cloud technologies, particularly Google Cloud Platform (GCP). You should have at least three years of experience in the field, with a strong understanding of data processing and pipeline development. Familiarity with AI and machine learning concepts will be beneficial, but not mandatory.
Overall, if you're looking to make a significant impact in a dynamic and tech-focused environment, this role offers the chance to work on exciting projects and contribute to the company's data-driven strategy.
You'll be taken to the original listing on CareerJet to apply.