Data Engineering Consultant at Securian Financial Group

St Paul, Minnesota, United States

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, InsuranceIndustries

4 year degree in Computer Science, related field, or equivalent industry experience
5+ years' experience with tools and concepts related to data and analytics, such as ETL, data storage options, data quality, working with structured and unstructured data
ANSI SQL skills/experience
Snowflake and Cloud knowledge and experience – AWS preferred
Programming experience - Python or Java preferred
Strong problem solving and analytical abilities
Solid communication skills
Curiosity and willingness to learn
Flexibility and adaptability

Lead the efforts to design, build, and optimize the creation of complex data pipelines and transformations enabling Artificial Intelligence, advanced analytics, and other enterprise use cases
Research, recommend, implement, and drive changes to evolve architecture and patterns to meet quickly changing data requirements
Collaborate with product managers, data scientists, machine learning engineers, technology teams and other stakeholders to understand requirements, prioritize tasks, and lead the delivery of data solutions that excite stakeholders and deliver business value
Mentor and consult with team members and provide leadership and direction to other areas to ensure best practices and optimal data solutions are implemented
Leverage data governance and data security tooling, processes, and principles to ensure data is secure, easy to find, trusted, and accessible
Devise technical solutions to drive business outcomes based on an understanding of customers, business processes and technical requirements