IPaaS. SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Cloud based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade pipelines with logging, alerting, retries, idempotency, and robust error handling. Experience More ❯
IPaaS. SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Cloud based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade pipelines with logging, alerting, retries, idempotency, and robust error handling. Experience More ❯
Java (Spring Boot) and Python, with the ability to build scalable microservices, SaaS platforms, and AI-powered applications. You should be proficient in cloud platforms such as AWS and GCP, and experienced in API-first design, security best practices, and observability tools to ensure reliable, high-performing systems. On the AI side, you have practical experience working with large language … engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms: Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with containerization (Docker), CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC). Experience with workflow/orchestration engines and agent-based architectures. Scalability, Data & Observability More ❯
Java (Spring Boot) and Python, with the ability to build scalable microservices, SaaS platforms, and AI-powered applications. You should be proficient in cloud platforms such as AWS and GCP, and experienced in API-first design, security best practices, and observability tools to ensure reliable, high-performing systems. On the AI side, you have practical experience working with large language … engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms:Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with containerization (Docker), CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC). Experience with workflow/orchestration engines and agent-based architectures. Scalability, Data & Observability More ❯
Java (Spring Boot) and Python, with the ability to build scalable microservices, SaaS platforms, and AI-powered applications. You should be proficient in cloud platforms such as AWS and GCP, and experienced in API-first design, security best practices, and observability tools to ensure reliable, high-performing systems. On the AI side, you have practical experience working with large language … engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms: Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with containerization (Docker), CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC). Experience with workflow/orchestration engines and agent-based architectures. Scalability, Data & Observability More ❯
Join us as a Data Platform Engineer for our client. At Peregrine, we re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in More ❯
Join us as a Data Platform Engineer for our client. At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in More ❯
