native environments. · Familiarity with containerization (Docker, Kubernetes) and DevOps pipelines. · Exposure to security operations center (SOC) tools and SIEM platforms. · Experience working with big data platforms such as Spark, Hadoop, or Elastic Stack. #J-18808-Ljbffr More ❯
e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines Exposure to big data frameworks (Spark, Hadoop etc.) used for scalable distributed processing Ability to collaborate effectively with Data Scientists to translate analytical insights into technical solutions Preferred qualifications, capabilities, and skills Familiarity with No SQL More ❯
enhance scalability and performance Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills: Proficiency in big data technologies such as Hadoop, Spark, or Kafka for handling large-scale data processing Familiar using tools like GitHub Copilot or Codeium Knowledge or practical experience with cloud-native technologies Knowledge of orchestration technologies More ❯
solutions to ensure design constraints are met by the software team Ability to initiate and implement ideas to solve business problems Preferred qualifications, capabilities, and skills Knowledge of HDFS, Hadoop, Databricks Knowledge of Airflow, Control-M Familiarity with container and container orchestration such as ECS, Kubernetes, and Docker Familiarity with troubleshooting common networking technologies and issues About Us J.P. More ❯
enterprise-level systems; Excellent object-oriented design skills, including OOA/OOD; Experience with multi-tier architectures and service-oriented architecture; Exposure to and understanding of RDBMS, NoSQL, and Hadoop is desirable; Knowledge of the software development lifecycle and agile practices, including TDD/BDD; Strategic thinking, collaboration, and consensus-building skills. Please note: Familiarity with DevOps is important More ❯
