
11 - 50 employees
Founded 2018
🎯 Recruiter
🤝 B2B
Recruitment • B2B
Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.
🔥 0 minutes ago
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11 - 50 employees
Founded 2018
🎯 Recruiter
🤝 B2B
Recruitment • B2B
Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.
• Develop, deploy, and maintain data pipelines and data governance systems on Databricks (Unity Catalog, Delta Lake, Workflows) • Conduct in-depth data analysis, profiling, and processing to classify data by domain and detect personal data (PII) • Contribute to the design of data access systems, focusing on data contracts, catalog access, and grant/rollback automation managed as Infrastructure-as-Code with Terraform • Review access architectures and contracts to ensure flexibility and reusability • Ensure that data products and access controls are deployed according to contracts and operate without unintended side effects • Maintain documentation for data contracts, access models, and governance processes • Monitor and support deployed pipelines and quality checks to ensure they meet data quality and performance expectations • Actively seek out information and internal solutions to ensure reusability and adoption of common data platform technologies
• 3+ years of experience in Data Engineering • Strong proficiency in Python • Experience with Spark/PySpark for streaming, batch, and asynchronous data processing • Data modeling • Distributed data processing • SQL • Data warehouse/lakehouse architecture • Hands-on experience with Databricks, GCP, or AWS • Terraform • Designing data access and governance solutions • Understanding of data products and governance controls
• Health insurance • Flexible work arrangements • Opportunities for professional development
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