DevSecOps Engineer developing scalable data pipelines for major clients. Collaborates with architects and data scientists to enhance data democratization and project efficiency.
Responsibilities
Develop data pipelines for ingestion, transformation, and delivery at scale;
Work with modern architectures such as Lakehouse, Data Mesh, and Medallion;
Ensure data quality, traceability, versioning, and safe reprocessing of data;
Support the construction of observable environments and DataOps practices;
Implement solutions focused on performance, governance, and security;
Collaborate with architects, data scientists, and data analysts to enable efficient integrations;
Participate in technical discussions with clients and recommend best practices.
Requirements
Experience with CI/CD
Automation and security integrated into the development lifecycle
Infrastructure as Code
Kubernetes
Public cloud (preferably Azure)
Best practices in architecture, security, observability, and governance
Agile methodologies and experience in continuous delivery pipeline environments
Education: Degree in IT, Information Systems, Software Engineering, Networks, Computer Engineering, Computer Science, or related fields
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