3,926 to 3,950 of 9,036 AWS Jobs

works for the operational team What we need from you Experience working with Qlik Talend or comparable ETL tools, such as Azure Data Factory, AWS Data Pipeline, or SQL Server Integration Services (SSIS). Familiarity with GitHub, Jira, and SQL would be advantageous. Management experience Excellent written and verbal communication ...

MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing platform Experience delivering machine learning solutions within regulated environments, including familiarity with Model Risk Management (MRM), governance, or model explainability. There ...

afterthought. Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infra-as-code (Terraform) #J-18808-Ljbffr ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Management or, Cybersecurity qualifications and much more. You will be encouraged to have a positive work-life balance. Our hybrid-first ...

disciplinary teams across software engineering, infrastructure, and delivery. Technical Depth Across Domains: Strong technical breadth and depth across enterprise architecture, cloud environments (Azure/AWS/GCP), modern software development, data, and infrastructure—with the ability to guide, challenge, and lead technical specialists across each area. Modern Engineering & Automation: Familiarity ...

large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau ...

disciplinary teams across software engineering, infrastructure, and delivery. Technical Depth Across Domains: Strong technical breadth and depth across enterprise architecture, cloud environments (Azure/AWS/GCP), modern software development, data, and infrastructure—with the ability to guide, challenge, and lead technical specialists across each area. Modern Engineering & Automation: Familiarity ...

large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau ...

adherence to resiliency and security expectationsPreferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologies and evolving user interface frameworksExposure to cloud technologies including AWS, Databricks, and agentic AI solutionsKnowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile developmentJ.P. Morgan ...

capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on data engineering experience with Databricks and AWS Hands-on practical experience in system design, application development, testing, and operational stability Proficiency in coding in Python Solid understanding of agile methodologies such ...

include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification. Learners can gain these optional exams at the end of the programme: AWS Certified AI Practitioner Microsoft AI-900 Azure AI Fundamentals Microsoft PL-900 Fundamentals Awarding Body: Accelerate People Potential full-time position for the right candidate ...

with Pandas and PySpark libraries would be a plusTechnical experience with Databricks or any similar Delta Lake platforms. Experience working with large datasetsExperience with AWS cloud deployments and APIExperience with Docker and KubernetesFamiliarity with financial statements (e.g. balance sheets, income statements/PnL).Familiarity with Crypto trading (spot, DeFi ...

infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate ...

context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock, or Google Vertex). Solid full stack backend engineering fundamentals — APIs, data pipelines, testing, CI/CD. Most of this job is Strong communication skills ...

context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock, or Google Vertex). Solid full stack backend engineering fundamentals — APIs, data pipelines, testing, CI/CD. Most of this job is Strong communication skills ...

systems, or ML platforms). Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems. AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including ...

strong plus. Solution Architecture: A proven track record of designing and owning data platform architectures at scale, across at least one major cloud (Azure, AWS or GCP), with a clear grasp of the non-functional requirements that make or break them. Data Engineering Depth: Strong command of Spark ...

Data Cloud, MuleSoft, OmniStudio, and Agentforce for automation and integration. Experience with integration technologies, master data management, and familiarity with other cloud platforms (e.g., AWS).Ability to analyse, design, and optimize business processes through technology and integration. Demonstrated experience guiding customers and project teams in adopting emerging technologies for business ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

data warehouses and scalable data platforms. Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working with relational and NoSQL databases, alongside strong data modelling skills. A solid understanding of data ...

reason about production code and hold your own with senior engineers, with working knowledge of Java/Kotlin and JavaScript/TypeScript (React).Solid AWS security experience, including securing cloud-native, containerized environments (e.g. EKS).Hands-on experience with security tooling across the SDLC, such as SAST, DAST, and dependency ...

technologies: Java(built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places Cloud & AWS technologies, driving our journey into public cloud architecture Docker, for our containerised applications Jenkins, for continuous integration and deployment And meet most of the following ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...

Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding of data analytics and visualisation. Awareness of data standards, interoperability, data governance, and data ...