We are seeking a seasoned Data Engineer with extensive experience in Teradata, Python, and Julia to join our dynamic team. This role is crucial for developing and maintaining robust data solutions.

This position requires a strong foundation in data engineering principles and data analytics, coupled with a good understanding of the Provider domain. The ideal candidate will leverage their expertise to drive data initiatives forward.

Design, build, and maintain efficient and reusable Teradata-based data structures. Develop and optimize data processing pipelines using Python for automation and complex data manipulation. Utilize Julia for advanced analytics, modeling, and performance-critical data tasks. Construct and manage robust ETL (Extract, Transform, Load) processes to ensure data integrity and availability. Collaborate with cross-functional teams in an Agile development environment.

A minimum of 8 years of professional experience in data engineering, with a significant focus on Teradata, Python, and Julia. Proven expertise in data engineering methodologies and data analytics techniques. Demonstrated experience working extensively with Teradata databases. Strong proficiency in Python for data processing, scripting, and automation. Hands-on experience with Julia for data analysis and predictive modeling. Solid understanding of ETL pipeline development and maintenance principles. Excellent problem-solving abilities and a strong analytical mindset. Effective communication and teamwork skills are essential for this role.