Data Engineer

Data engineer
Role Profiles Digital & Technology
Advanced Analytics

Summary
Responsible for industrialization, deployment and functional maintenance of AA products/solutions.

Roles & responsibilities

• Responsible for productizing Advanced Analytics models and integration with IOT systems.
• Ensure technical solutions are generic and highly scalable.
• Collaborate with data architect, data analysts and business analysts to build data and model pipelines.
• Responsible for quality checking and testing.

Signs of strong performance

• High NPS of team (if applicable).
• Low mean time to repair.
• Strong product match with business needs.
• Infrastructure cost lower or equal to plan.
• High mean time between failures.
• High business value from delivered products.
• Reaches high % of SLOs.

Required skills

• Degree in Computer Science, Software Engineering or related technical discipline or equivalent combination of education, training, and experience.
• Proficiency in Python and SQL.
• Strong foundation in CS fundamentals: Database Administration, Computer Networking, Operating Systems…
• Experience in designing, building ETL processes.
• Experience in Cloud Computing (AWS, GCP, Azure) & database (Redshift).
• Competence with infrastructure as code (Terraform, Cloudformation, etc.).
• Experience using Git, Linux scripting.

Preferred skills

• Experience in container-based deployments using Kubernetes or similar technologies.
• Demonstrable experience in development (building of API-driven interfaces).
• Ability to explain complex technical processes to business stakeholders.
• Experience with Agile project management methodology.