As a Senior Data Engineer, you'll be responsible for creating and maintaining data pipelines that are both robust and scalable. This role is ideal for someone with extensive experience in cloud technologies and data architecture.
In this role, you'll be part of a team dedicated to building and maintaining data pipelines that support both batch and near-real-time processing. Your primary focus will be on architecting data solutions that are robust, scalable, and reusable, ensuring that the data infrastructure meets the needs of the organization.
You will work with technologies like Databricks and AWS, and will be involved in the design and orchestration of ETL and ELT processes. A strong understanding of cloud data platforms and database design will be essential, as you will be responsible for implementing lakehouse concepts and ensuring data integrity across various systems.
This position suits someone with at least five years of experience in data engineering, particularly in cloud environments. You should be comfortable working independently as well as part of a team, and be ready to tackle complex data challenges. Key responsibilities include:
If you have a passion for data and a strong technical background, this role could be a great fit for you. You'll have the opportunity to innovate and contribute to important data projects within the organization.
You'll be taken to the original listing on CareerJet to apply.