As a Senior Data Engineer, you'll play a crucial role in managing and securing data processes. Your expertise in Spark and Python will be essential for developing robust data solutions.
In this role, you'll be a key player in the data engineering team, focusing on building and maintaining data pipelines using Spark and Python. Your primary responsibility will be to ensure that data processes are secure and compliant with governance standards, which is critical for protecting consumer privacy.
You will work closely with other engineers and data professionals to design and implement data solutions that meet the organization's needs. Your day-to-day tasks will include developing data models, optimizing data flows, and ensuring that data is accessible and reliable for analysis.
This position is ideal for someone with a strong background in data engineering and a passion for security and compliance. You should have at least five years of experience in the field, with a proven track record of working with Spark and Python. Strong problem-solving skills and the ability to work collaboratively in a team are also essential.
Key responsibilities include: • Designing and implementing data pipelines using Spark and Python • Ensuring data security and compliance with governance standards • Collaborating with cross-functional teams to meet data needs • Troubleshooting and optimizing data processes
If you are looking to take your career to the next level in a company that values innovation and security, this role is for you.
You'll be taken to the original listing on CareerJet to apply.