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Senior Data Engineer
1 month ago
We are looking for a highly skilled and visionary Senior Data Engineer or Data Architect to lead the design, development, and maintenance of our scalable, reliable, and efficient data infrastructure. This role is critical in shaping our data ecosystem, ensuring the highest standards of data quality, and empowering the organization with actionable insights. The ideal candidate is a technical leader who excels in a collaborative environment and is passionate about building robust data solutions from the ground up. Key Responsibilities: Strong skills in Java, Go Language, Open JDK21, Spring Boot, Light 4j, Azure Data Factory, Databricks, Data Lake, and data quality. Architect and develop scalable data pipelines using Java and Go. Design, implement, and optimize workflows in Azure Data Factory. Build and maintain analytics solutions in Databricks. Oversee Data Lake architecture and management. Establish and enforce data quality frameworks and controls. Monitor and improve data integrity, accuracy, and consistency. Collaborate with cross-functional teams to define requirements and deliverables. Serve as technical point of contact for data engineering initiatives. Communicate technical concepts to non-technical stakeholders. Mentor and guide data engineers. Leveraging GitHub Actions to automate CI/CD pipelines, enabling faster and more reliable software releases. Utilizing HashiCorp solutions for: Secure secrets management Efficient infrastructure provisioning Improved operational agility and security Relying on Azure Data Factory and Azure SQL Server for: Seamless data integration Efficient data storage to support growing requirements Education: Bachelor’s degree/University degree or equivalent experience
