As a Senior Data Engineer, you'll play a crucial role in building and maintaining data systems that support analytics and machine learning initiatives. This position is ideal for someone with a strong background in SQL and data engineering who enjoys working with complex data environments.
In this role, you'll be part of a dynamic team that includes Data Analysts, Data Scientists, and Software Engineers. Your main responsibility will be to design, build, and maintain robust data pipelines that facilitate the flow of data across various platforms. You'll work closely with other team members to ensure that data is accessible and usable for analytics and machine learning projects.
Your daily tasks will involve writing SQL queries, optimizing data storage solutions, and implementing ETL processes. You'll also need to stay updated on best practices in data engineering and be comfortable working with cloud platforms. This position requires a strong understanding of data architecture and the ability to troubleshoot any issues that arise.
The ideal candidate for this role has at least five years of experience in data engineering, with a solid grasp of SQL and data pipeline development. Familiarity with analytics and AI/ML workloads is a plus, as it will help you contribute to the team's broader goals. If you enjoy solving complex data challenges and collaborating with a diverse team, this role could be a great fit for you.
You'll be taken to the original listing on CareerJet to apply.