301 to 325 of 798 Permanent NoSQL Jobs

SonarQube Exposure to job scheduling tools such as Autosys or Control‐M Exposure to cloud technologies and cloud‐native development patterns Exposure to NoSQL databases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with ...

using Kubernetes, containers, microservices and event-driven architectures.* Strong understanding of distributed systems, resiliency patterns, scalability and performance engineering.* Strong knowledge of SQL and NoSQL technologies, API design and integration patterns.* Excellent communication and stakeholder management skills with the ability to influence technology decisions across numerous teams and organisations.* Growth ...

build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with ...

frameworks (e.g. Java/SpringBoot)Experience building solutions on at least one Cloud platform (e.g. AWS) using integration technologies (e.g. GraphQL, REST etc..) and NoSQL/SQL database technologies (e.g. PostgreSQL, TigerGraph etc..)Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and SecurityDemonstrated experience designing ...

Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform. Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications. Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy ...

languages such as Java, Python, C/C++, or C#Practical experience delivering system design, application development, testing, and operational stabilityWorking knowledge of relational and NoSQL databases and data lake architecturesExperience developing, debugging, and maintaining code with modern programming languages and database querying languagesExperience in large-scale data processing, microservices ...

Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large-scale data processing, microservices ...

with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases SQL or NoSQL Ability tovalidate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration frameworks (LangChain ...

cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures Familiarity with observability tools and frameworks Practical cloud-native experience (AWS, Azure, or GCP) Ability to communicate effectively ...

plus, especially within multi-disciplinary teamsDeep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR)RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL)NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j)Solid understanding of software engineering best practices – code reviews, testing frameworks, CI/CD, and code maintainabilityExperience deploying applications into production ...

ideally within AWS Working with messaging, asynchronous processing or event-driven architecture Designing reliable integrations with external or internal systems SQL and/or NoSQL data stores Building scalable systems handling significant traffic or data volumes Performance optimisation, caching and latency reduction Designing for resilience and failure Containerisation and orchestration ...

such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, and orchestration frameworksWorking knowledge of relational and NoSQL databases, vector stores, and data lake architecturesFamiliarity with observability tools and frameworksPractical cloud-native experience (AWS, Azure, or GCP)Ability to communicate effectively with senior ...

improve delivery speed and quality. Strong understanding of applying AI responsibly within the software development lifecycle, ensuring traceability, auditability, and control. Experience of NoSQL or RDMS databases. Infrastructure as Code, Terraform or equivalent. Modern CI/CD and DevOps practices. Cloud technology, ideally AWS (Amazon Web Services). Knowledge ...

cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures Familiarity with observability tools and frameworks Practical cloud-native experience (AWS, Azure, or GCP) Ability to communicate effectively ...

human-in-the-loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. Experience mentoring engineers, leading technical discussions ...

with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and modern CI/CD practices. Solid understanding of databases and data platforms (SQL, NoSQL, and analytics platforms such as BigQuery). Clear, confident communication skills, and the judgment to know when to hold a position and when to adapt ...

complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both ...

formal authority. Experience with frontend technologies such as React JS is desirable. Knowledge of cloud platforms, with AWS preferred. Familiarity with SQL and NoSQL databases. Solid understanding of computer science fundamentals, including data structures, algorithms, concurrency, and system design. Strong understanding of modern software development practices, including CI/ ...

working in an Agile Environment and CI/CD practices. Ability to define working procedures and methodologies for the team. Desirable Experience Knowledge of NoSQL databases. Experience in Data Modelling is highly desirable. Broader knowledge of IT — e.g., Security and Networking. What makes us great Alongside working with some ...

skills in TypeScript/Node.js, with solid API design. Cloud experience (AWS: Lambda, ECS, S3, or similar).Database proficiency across SQL (Postgres) and some NoSQL exposure. Demonstrated ability to mentor and coach other engineers. Uses AI coding assistants (Copilot, Cursor, Claude, etc.) critically and effectively as part of their ...

Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing ...

resilient software architectures, with an emphasis on Java-based solutions. Data Management: Strong knowledge of both relational (e.g., MySQL, SQL Server, PostgreSQL) and NoSQL databases (e.g., DynamoDB, MongoDB). Troubleshooting: Proven experience in performing in-depth root cause analysis to identify the underlying causes of software issues, whether they ...

need to have Strong commercial Kotlin experience An ability to write simple, clean code Experience and understanding of databases relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands abstraction and interpolation Able to write ...

need to have Strong commercial Kotlin experience An ability to write simple, clean code Experience and understanding of databases; relational databases are a must, NoSql would be nice too Be able to quickly understand complex, financial business domains Understand different software architectures rapidly Understands abstraction and interpolation Able to write ...