Senior Data Engineer optimizing data pipelines for a startup improving urban safety and cleanliness. Collaborating with data science and DevOps teams to ensure data reliability and performance.
Responsibilities
Design, develop, and maintain robust, automated, and scalable data pipelines.
Ensure the quality, security, and reliability of data across its entire lifecycle.
Define and maintain infrastructure-as-code for data-related services.
Build and maintain dashboards, monitoring tools, and reports for internal teams.
Collaborate closely with Data Science, DevOps, and Product teams to ensure data consistency and maximize the value of data.
Monitor and optimize performance using observability tools (Datadog, Grafana, Prometheus).
Requirements
Master's degree (or equivalent) in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
5+ years of experience in Data Engineering, preferably in cloud and AI environments.
Excellent proficiency in Python and development best practices (testing, version control, packaging).
Strong knowledge of SQL and NoSQL databases (PostgreSQL, DynamoDB).
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