cloud platforms, preferably IBM Cloud. Contributions to open-source projects or personal projects demonstrating Big Data and Java development skills. Relevant certifications such as Cloudera Certified Associate (CCA) or Hortonworks Certified Developer (HCD) are considered a plus. By joining IBM's Public Sector team as a Big Data Java Developer, you'll have the opportunity to make a significant impact More ❯
Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes More ❯
related discipline from an accredited college or university. Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera's Distribution of Hadoop, Hortonworks Data Platform, MapR, etc ) is a plus. Experience with CI/CD pipelines (e.g. Gitlab-CI, Travis-CI, etc.). Understanding of agile software development methodologies and use of standard More ❯
