Senior Enterprise Data Engineer

About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines that integrate data from various sources into a central data warehouse or data lake. Develops and implements data models, ensuring data quality and consistency across the enterprise. Optimizes data infrastructure for performance and scalability, supporting business intelligence and analytics initiatives. Collaborates with data scientists, analysts, and other stakeholders to understand data needs and deliver effective solutions.

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 (e.g., Snowflake, Redshift) is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a deep understanding of data warehousing principles, and a passion for building robust and scalable data solutions are often successful in this role.