As a Data Engineer, you'll work with large datasets to build and optimize data pipelines. This role is ideal for those who enjoy working with big data technologies and have a knack for transforming raw data into valuable insights.
In this role, you will be part of a team dedicated to delivering geospatial data and analytics solutions. Your main responsibility will be to design and implement data pipelines that handle high volumes of data efficiently. You will work with technologies like Spark and Hadoop to ensure that data is ingested, transformed, and made ready for analysis.
You will collaborate closely with other engineers and data scientists to create feature pipelines that enhance the capabilities of the products being developed. This position is well-suited for someone who is passionate about big data and has experience in building robust data systems.
Key responsibilities include: • Developing and maintaining data ingestion processes • Transforming raw data into usable formats • Implementing feature engineering techniques • Collaborating with cross-functional teams to support analytics initiatives
To succeed in this role, you should have a strong understanding of big data technologies and experience with tools like Spark and Hadoop. Familiarity with cloud technologies and AI concepts will be beneficial but is not mandatory. If you thrive in a fast-paced, tech-driven environment, this could be the perfect opportunity for you.
You'll be taken to the original listing on CareerJet to apply.