Basic Qualifications:

Bachelor’s or Master’s degree in a Computer Science, Engineering or a related or related field of study  5+ Years - Ability to work effectively across organizations, product teams and business partners. 5+ Years - Knowledge Agile (Scrum) Methodology, experience in writing user stories  5+ Years - Strong understating of Database concepts and experience with multiple database technologies – optimizing query and data processing performance. 5+ Years - Full Stack Data Engineering Competency in a public cloud – Google, MS Azure, AWS Critical thinking skills to propose data solutions, test, and make them a reality.  5+ Years - Highly Proficient in SQL, Python, Java, Scala, or Go (or similar) - Experience programming engineering transformation in Python or a similar language.  5+ Years Demonstrated ability to lead data engineering projects, design sessions and deliverables to successful completion. Cloud native technologist Deep understanding of data service ecosystems including data warehousing, lakes, metadata, meshes, fabrics and AI/ML use cases. User experience advocacy through empathetic stakeholder relationship.  Effective Communication both internally (with team members) and externally (with stakeholders) Knowledge of Data Warehouse concepts – experience with Data Warehouse/ ETL processes  Strong process discipline and thorough understating of IT processes (ISP, Data Security).