8 of 8 AWS Jobs in Stafford

Cosmos DB, and other Azure data services Certifications such as AZ-204, AZ-400, SC-200, or ITIL Foundation Exposure to multi-cloud environments (AWS, GCP) or containerisation (Docker, Kubernetes) Why Join DigX? Competitive Package : Enjoy a competitive base salary plus performance-based bonus and commission opportunities Hybrid Flexibility : Work More ❯

applications, such as predictive maintenance, load forecasting, or optimization. Proficiency in programming languages such as Python, R, MATLAB, or C++. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture. Nice-to-Have Requirements Experience with data modeling, containerization (Docker, Kubernetes), and distributed computing (Spark, Scala). Familiarity with More ❯

pipelines for data transformation and feature extraction. Solid proficiency in scientific programming languages like Python, Scala, Java, or SQL. Solid experience with cloud platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements Familiarity with big data technologies such as Hadoop, Kafka, and More ❯

pipelines for data transformation and feature extraction. Solid proficiency in scientific programming languages like Python, Scala, Java, or SQL. Solid experience with cloud platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements Familiarity with big data technologies such as Hadoop, Kafka, and More ❯

MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Familiarity with machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have Skills Knowledge of big data tools More ❯

MATLAB. Experience with data wrangling, feature engineering, and dataset preparation. Knowledge of machine learning frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have: Familiarity with big data tools like More ❯

preparing datasets for model validation. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques. Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment of models in cloud environments. Experience with data visualization tools such as Tableau, Power BI, or similar to effectively present validation More ❯

pipelines and Infrastructure as Code (e.g., Terraform, Liquibase). Certifications such as Microsoft Certified: Azure Database Administrator Associate, Oracle Database SQL Certified Associate, or AWS Certified Database – Specialty Exposure to BI/reporting tools like Power BI, Tableau, or Looker. Experience with NoSQL or big data technologies (e.g., MongoDB, Cassandra … Hadoop). Active DoD 8570-compliant certification (e.g., Security+, CASP+, CISSP). Experience with cloud platforms such as AWS GovCloud, Azure Government. Familiarity with configuration management tools (e.g., Ansible, Puppet). Experience in DevSecOps or Infrastructure as Code (IaC) environments. Preference for Tier III help desk experience. Security Clearance: Candidate More ❯