Data Engineer IV

Job Responsibilities:

• Manage data engineering projects through the full cycle.
• Identify and underline business initiatives from a data engineering perspective
• Design, construct, install, test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Design, implement, automate and maintain large scale enterprise data ETL processes.
• Build high-performance algorithms, prototypes, predictive models and proof of concepts

Skills:

• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Collaborate with data architects, modelers and IT team members on project goals.
• SQL and data workflow skills
• Strong SQL proficiency (writing, optimizing, troubleshooting).
• Experience working in a scaled production/data pipeline Agile environment.
• Ability to work independently and proactively problem-solve (self-sufficient, explains why something failed and proposes solutions).
• Understanding of how ML models work (not deep expertise, but conceptual knowledge).
• Experience with long-running pipelines (jobs running for days).
• Python skills (preferred, not required).

Education/Experience:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• Background in hardcore technical/data engineering environments (not banking/legacy industries).
• Familiar with cloud infrastructure, orchestration layers, and modern data workflows.
• Agile mindset: comfortable with frequent direction changes and ambiguous problem spaces