As a Data Engineer, you'll play a key role in building and maintaining data pipelines and analytics platforms. This position is ideal for someone who enjoys working with various data sources and technologies.
In this role, you will be part of a team dedicated to enhancing the analytics and data platform for the company. Your main responsibility will be to develop and maintain data pipelines that ensure smooth data flow from various sources into the analytics systems. You will work closely with other engineers and analysts to ensure that the data is accurate and accessible for decision-making processes.
You will engage with technologies such as REST APIs and various SaaS connectors like Zendesk, HubSpot, and Zoho. Your day-to-day tasks will involve coding, testing, and deploying data solutions, as well as troubleshooting any issues that arise. Collaboration with cross-functional teams will be essential to understand their data needs and provide effective solutions.
This position suits someone who has a strong foundation in software development and data engineering principles. You should be comfortable working with different data sources and have a knack for problem-solving. Familiarity with DevOps practices and infrastructure architecture will be beneficial but not mandatory.
Key requirements for this role include proficiency in REST APIs and experience with SaaS platforms. You should be able to demonstrate your ability to work with data and contribute to building robust data solutions that support the company's analytics objectives.
You'll be taken to the original listing on CareerJet to apply.