9 of 9 Hadoop Jobs in Scotland

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 ❯

the following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of big data frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages such as Python … monitoring of hybrid on-premise and cloud data solutions Working with a variety of enterprise level organisations to understand and analyse existing on-prem environments such as Oracle, Teradata & Hadoop etc., and be able to design and plan migrations to AWS or GCP Deep understanding of high and low level designs and architecture solutions Developing database scripts to migrate More ❯

/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and More ❯

team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity More ❯

team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity 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 ❯