31 to 55 of 1,173 Google Jobs

You will also be coached on how to land consulting projects with our high-profile Fortune 500 partners such as: Microsoft Intel Amazon Apple Google Facebook We currently have only 3 slots open for this exciting opportunity to become a Big Data consultant. Contact our Technical Recruiter to walk you more »

principles Desirable: NoSQL database technologies (MongoDB, Cosmos) Docker workflows Container management systems (Kubernetes/Docker Swarm) Knowledge of Cloud solutions (AWS/Azure/Google Cloud Platform) Knowledge of scripting languages (Bash and PowerShell) Administration of Windows and Linux servers About Us Bonus opportunities Subsidised Onsite Parking A great working more »

Airbyte, DBT, Kafka etc. Awareness of data visualisation tools such as PowerBI, Tableau and/or Looker Knowledge of Teradata, Mainframe and/or Google Analytics is beneficial. Appreciation of data governance, data management, analytics, science, and visualisation workflows and data needs Appreciation of the modern cloud data stack, headless more »

application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Cloud Platforms: Cloud Native design patterns Microsoft Azure/Google Cloud. Designing and delivering digital solutions following a product-mindset and a variety of delivery methodologies (e.g. Agile, CCPM, etc.). Working within a DevOps more »

distributed systems. Expertise in Kubernetes, including experience with deploying microservices on Cloud or on-premise environments. Familiarity with Cloud technologies and infrastructure services (AWS, Google Cloud, Azure), including an understanding of best practices for security and scalability. Proficiency in developing external and internal secure and scalable APIs, focusing on security more »

players. We want you to coach other team members on coding practices, design principles, and implementation patterns Knowledge of Kubernetes Operators is a bonus Google Cloud Platform expertise Comfortable in uncharted waters. We are building something new. Things change quickly. We need you to learn technologies and patterns quickly Ability more »

such as generative AI and vector databases. Hands-on experience with data platforms, integration tools, data warehouses, and analytics in a Cloud environment, preferably Google Cloud. Strong problem-solving abilities and effective communication skills. Openness to learning and adapting to new technologies and methodologies. Experience with CI/CD tools more »

types of cloud computing (preferably GCP). DevOps concepts & tools like GitHub/Jenkins, Jira, Confluence. Using the following technologies: git, Jira Understanding of Google SRE practices and concepts Regulatory Reporting experience Investment Banking experience would be beneficial. more »

join our Data Engineering team, this role will be responsible for the development, testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets more »

load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters more »

Solid understanding of web technologies, including HTML5, CSS3, and responsive design principles. Working knowledge of cloud computing platforms such as AWS, Microsoft Azure, or Google Cloud Experience with version control systems such as Git and familiarity with collaborative development workflows. Mentor and coach junior developers, providing guidance and support for more »

Angular or Ember Experience of cloud native development including serverless application development approaches using one or more of Serverless Framework, AWS Amplify, AWS Lambda, Google Cloud Functions, Firebase, Azure Functions Understanding of Progressive Web App (PWA) development approaches Continuous Integration/DevOps experience Demonstrable experience in Test Driven or Behaviour more »

DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction more »

Angular or Ember Experience of cloud native development including serverless application development approaches using one or more of Serverless Framework, AWS Amplify, AWS Lambda, Google Cloud Functions, Firebase, Azure Functions Understanding of Progressive Web App (PWA) development approaches Continuous Integration/DevOps experience Demonstrable experience in Test Driven or Behaviour more »

Tier 2 engineer in SaaS organizations in a B2B customer service/support setting – A must 1-2 solid years of experience with AWS, Google Cloud or Azure work experience/certification - A must Outstanding interpersonal skills with a service-oriented approach Excellent problem-solving skills with a desire to more »

PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big data technologies such as Apache Hadoop, Spark, or Kafka. Experience deploying machine learning models in production environments. Contributions to more »

to all Firm policies and procedures. Qualification, Skills, Knowledge and Experience Essential Desirable College/A-Levels Degree Skills and Technologies Terraform TerraTest Azure, Google Cloud, AWS - Essential Jenkins X3 Go, C#, HCL, YAML Git, GitHub - Essential SQL, MongoDB, PostgreSQL Kubernetes - Essential Docker/Podman (Containerization) Helm Experience Minimum more »

in a team environment. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with cloud technologies such as AWS, Azure, or Google Cloud Platform. Knowledge of front-end technologies such as HTML, CSS, and JavaScript. Familiarity with DevOps practices and tools such as Docker, Kubernetes, and Jenkins. more »

data technologies Spark/Databricks and Hadoop/ADLS is a must Experience in any one of the cloud platform Azure (Preferred), AWS or Google Experience building data lakes and data pipelines in cloud using Azure and Databricks or similar tools. Spark Developer certification from any of (Databricks, MAPR, Cloudera more »

CircleCI Configuration management tooling and infrastructure as code knowledge is preferred but not required Experience working with AWS services, with knowledge of Azure/Google ecosystems helpful but not required Strong familiarity with general modern web and mobile application development, including hands-on experience working with JavaScript (Typescript preferred) and more »

collaboratively in a team environment. If would be an advantage if you have: Experience with cloud platforms such as AWS, Digital Ocean, Azure, or Google Cloud. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with continuous integration and continuous deployment (CI/CD) processes. Please include links more »

using modern data warehouse platforms such as Snowflake and Iceberg Certifications in cloud platforms and/or data engineering (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer) are a plus Benefits: 28 days of annual leave (incl. UK bank holidays), with a day added for each year of service more »

and Experience with: Unix-based command line & development tools Version control (e.g. Git) Flask, FastAPI, Django or NodeJS (BACKEND) Cloud computing platforms (AWS, Azure, Google Cloud, etc.) CI/CD tools (CircleCI, Jenkins, Github Actions, etc.) Containerization (Docker, Kubernetes, etc.) Relational databases (PostgreSQL, MariaDB, MySQL, etc.) TypeScript Infrastructure as code more »

using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for more »

using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for more »