Qualifications
ResponsibilitiesDesign, develop, and sustain robust, automated, and scalable data pipelines.Guarantee data quality, security, and reliability throughout the data lifecycle.Establish and maintain infrastructure as code for data services.Create and oversee dashboards, monitoring tools, and reports for internal teams.Collaborate closely with Data Science, DevOps, and Product teams to ensure data consistency and value delivery.Utilize observability tools (Datadog, Grafana, Prometheus) to monitor and optimize performance. ProfileTechnical SkillsMaster’s degree or equivalent in computer science, data engineering, or artificial intelligence.Over 5 years of experience in Data Engineering, preferably within cloud and AI-driven contexts.Proficient in Python and familiar with software engineering best practices (testing, versioning, packaging).Strong expertise in SQL and NoSQL databases (PostgreSQL, DynamoDB).Extensive experience with workflow automation tools (Airflow, GitHub Actions, GitLab CI/CD).In-depth understanding of MLOps concepts, data integration into ML workflows, monitoring, and deployment.Experience with cloud platforms such as AWS or GCP (S3, Lambda, RDS, Step Functions).Familiarity with Docker and containerized environments.Soft SkillsExemplary technical rigor and unwavering focus on quality.High degree of autonomy and ability to manage a broad scope of responsibilities.Clear and structured communication style with a collaborative mindset.Ability to work effectively within cross-functional teams.
About the job
Mission
At Vizzia, we are dedicated to crafting innovative technology solutions that create a significant societal impact. By leveraging artificial intelligence alongside field observations, we strive to enhance our understanding and management of pressing environmental challenges.
We invite you to join our team as a Senior Data Engineer. In this pivotal role, you will be responsible for optimizing, securing, and industrializing the data pipelines that support our AI products. Your contributions will be crucial in ensuring the quality, availability, and performance of data utilized daily by our AI, Product, and DevOps teams.