17 of 17 NoSQL Jobs in the City of London

defining standards.Knowledge of cloud platforms AWS and containerization technologies.Strong understanding of object-oriented programming principles and design patterns.Proficiency in database design and SQ and NoSQL databases like Redis, DynamoDB.Good understanding of the Agile methodologies and working in Scrum/SAFE practicesFamiliarity with front-end technologies (HTML, CSS, JavaScript ...

cases; exposure to highly-available services. Security aspects of software development Bonus for knowledge of: UI development using React.js. Scripting languages, preferably Python. NoSQL or distributed databases (e.g., Redis, Couchbase) Automation/configuration management (e.g., Ansible, Puppet, Chef) Containerisation and orchestration (Docker, Kubernetes). Public cloud (e.g. ...

TailwindBack-end skillsProficiency in backend programming languages (Typescript and/or other OOP language such as c#/Java)Strong database knowledge (SQL and NoSQL)Proficiency with RESTful APIs and GraphQL APIs and WebsocketsExperience with microservices architectureKnowledge of version control systems (Git)Experience with TerraformExperience with automated testingExperience with ...

distributed tracing for serverless/microservices. Databases experience with at least two of the following: DynamoDB Aurora PostgreSQL MongoDB/DocumentDB (or similar NoSQL solutions Cloud Architecture: AWS Associate level certification or equivalent experience building serverless solutions. DESIRED BUT NOT REQUIRED: Knowledge of media processing workflows (transcoding, metadata pipelines). ...

other JVM language), good to have: JS, TypeScript Frameworks: Spring Boot or Micronaut Cloud: Azure, Terraform for infrastructure automation Architecture: Microservices DB: SQL (PostgreSQL), NoSQL databases, e.g. Cosmos DB or Couch DB Monitoring & alerting: Splunk, xMatters, New Relic etc. VCS: GitHub Zendesk & JIRA You might know us as a supermarket ...

interfaces and backend services, including APIs, business logic and integrations. Solid understanding of data and database design, including working with relational and/or NoSQL databases. Experience working with cloud platforms (ideally Azure), including deployment and operation of applications in production. Experience building and deploying AI‐enabled solutions or agents ...

queries to retrieve data from relational databases such as but not limited to Oracle, Postgres, Snowflake. Experience of writing queries to extract from NoSQL data stores like OpenSearch, MongoDB. Understanding of REST APIs for querying as well as delivering data. Able to construct simple scripts using Python to or similar ...

Lloyd’s List Intelligence is hiring a Senior Analyst Data Services to join our Data Services Team. You will work hands-on in a high-performing Agile environment, querying large datasets, building data solutions, and ...

programming languages such as JavaScript/Node.js, Python, or PHP, and extensive experience working with APIs. Understanding of database systems (both SQL and NoSQL) is essential, as is experience with ETL processes and data transformation techniques. Required Skills and Experience 3+ years of experience in data integration or similar technical ...

growth and development. What you’ll need: At least 6+ years of experience in software engineering, with strong proficiency in C#, Node.JS, Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and developing machine learning models with Python. Strong problem-solving ...

interact with a diverse group of colleagues What we prefer you to have: Understanding of RDBMS and Data Repositories (SQL Server, MySQL, Azure, noSQL). Experience with Azure cloud infrastructure and services/Big Data (Databricks, Snowflake) Knowledge of distributed systems and service-oriented architecture. Proficiency using AI tooling Relevant ...

deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab ...

will be responsible for developing conceptual, logical and physical data models, defining source-to-target mappings, and supporting the implementation of relational and NoSQL database solutions, operational data stores (ODS), data marts and data lakes. Working closely with business and technical stakeholders, you will ensure data architecture aligns with enterprise … physical data models. Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business ...

high-quality, consultative outcomes. Ideal candidates will have strong communication skills and a track record in Big Data technologies (Spark, Hadoop, EMR, MapR) and NoSQL/MPP databases, with a passion for #J-18808-Ljbffr ...

solutions aligned with client processes and goals. Responsibilities include mapping data, building ETL processes, data validation, and creating documentation. Strong API skills, SQL/NoSQL knowledge and Git usage are essential. #J-18808-Ljbffr ...

skills are a must, as well as the ability to lead effectively across internal and external organizations and virtual teams. Deep understanding of MPP & NoSQL databases Hands on experience of working in Linux including Kerberos, Multihoming, DNS etc Able to work on large scale and complex projects for customers ...

Tech stack: Data Architecture, Enterprise Data Strategy, Data Warehouse, Master Data Management, ERP, CRM, BI, ETL/ELT, Azure Data Factory, Data Lakes, RDBMS, NoSQL, AWS Glue, EMR, Capital Markets Data) Our client is a leading global investment bank with a strong presence across financial markets and commodities. They … required levels of quality, integrity, security and traceability. Strong experience across cloud and on-premise data technologies is required, with exposure to RDBMS, NoSQL, Data Lakes, AWS Glue, EMR and Azure Data Factory particularly valuable. You will also have a good understanding of data warehousing, ETL/ELT, data integration ...