Senior Data Engineer, Enterprise Data and Protection

About this kind of role

What a Senior Data Engineer, Enterprise Data and Protection usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. Develops and implements data quality and governance procedures to ensure data accuracy and reliability. Collaborates with data scientists, analysts, and other stakeholders to understand data needs and deliver effective data solutions. Focuses on data security and protection strategies, ensuring compliance with relevant regulations.

Tools and skills: Proficiency in SQL, Python or Java, cloud platforms like AWS, Azure, or Google Cloud, ETL tools (e.g., Informatica, Apache Spark), and data warehousing technologies is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.