As a Senior Data Engineer, you'll play a crucial role in managing and optimizing data systems. Your expertise in Spark and Python will help drive data solutions that support business needs.
In this role, you'll be a key player in the data engineering team, focusing on building and maintaining data pipelines and systems. Your work will involve leveraging Spark and Python to create efficient data solutions that align with the company's commitment to consumer privacy. You'll also be responsible for developing reusable libraries and implementing automated testing to ensure the reliability of data processes.
Your day-to-day tasks will include collaborating with data scientists and analysts to understand their data needs, designing data models, and optimizing existing data workflows. You'll have the opportunity to lead technical projects and mentor junior engineers, making a significant impact on the team's success.
This position is ideal for someone with a strong background in data engineering and a passion for working with cloud technologies, particularly within the Azure ecosystem. Key requirements include:
If you're looking to take your career to the next level and work in an innovative environment that values privacy and technical excellence, this role is for you.
You'll be taken to the original listing on CareerJet to apply.