Minimum Level: Advanced) Desirable Background with multiple asset classes is an advantage Pricing analytics background Relational and NoSQL database experience KDB (ideal), Oracle, Sybase, Cassandra and other data technologies Previous exposure to: Electronic Trading Systems & Execution Platforms Execution & Hedging Algorithms Container frameworks and the tooling that goes with them More ❯
Minimum Level: Advanced) Desirable Background with multiple asset classes is an advantage Pricing analytics background Relational and NoSQL database experience KDB (ideal), Oracle, Sybase, Cassandra and other data technologies Previous exposure to: Electronic Trading Systems & Execution Platforms Execution & Hedging Algorithms Container frameworks and the tooling that goes with them More ❯
given problem. Right now, we use: A variety of languages, including Java and Go for backend and Typescript for frontend Open-source technologies like Cassandra, Spark, Elasticsearch, React, and Redux Industry-standard build tooling, including Gradle, Webpack, and GitHub What We Value Ability to communicate and collaborate with a More ❯
/Kubernetes/JVM-based infrastructure in AWS, GCP, and other public clouds. Expertise in Linux Operating Systems, Networking, and Database concepts. Experience with Cassandra (or another NoSQL alternative). Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP. Experience with configuration management systems such as More ❯
Value Experience with monitoring systems using tools like Prometheus and writing health checks Interest in learning and managing technologies like Spark, Hadoop, Elasticsearch, and Cassandra Familiarity with deploying GPUs Moderate experience with TCP/IP networking Ability to work independently with minimal supervision Ability to travel to customer sites More ❯
Job Description Solutions Architect Our client is an international consultancy with over 3,000 employees. They are seeking to recruit a Senior Solutions Architect based at the company's Central London offices. Responsibilities include: Applying extensive expertise in application development More ❯
and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI/ML. Physical More ❯
Scala. ? AI Frameworks: Extensive experience with AI frameworks and libraries, including TensorFlow, PyTorch, or similar. ? Data Processing: Expertise in big data technologies such as Apache Spark, Hadoop, and experience with data pipeline tools like Apache Airflow. ? Cloud Platforms: Strong experience with cloud services, particularly AWS, Azure, or Google More ❯
clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
or product feature use cases. Experience in building and deploying live software services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. More ❯
implementation of scalable, resilient, cost-effective and auto-scaling architectures. Understanding of Domain-Driven Design and Collaborative modelling. Experience with event-driven architectures/Apache Kafka. Building on the AWS using any of the common automation frameworks like Pulumi, Terraform or Ansible. Experience with large-scale system handling terabytes … of data and tens of thousands of messages per second. Experience operating relational (Oracle, PostgreSQL) and NoSQL (DynamoDB, Cassandra, ElasticSearch) databases. Experience with monolith-to-microservices migrations and patterns such as strangler and change-data-capture. You like music :) What we offer: Competitive local benefits based on your location More ❯
/Knowledge/Experience • Strong expertise in data modeling techniques (conceptual, logical, physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark … Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. More ❯
and support automated monitoring systems to detect data anomalies, system failures, and performance issues and leverage advanced scripting and orchestration tools (e.g., Python, Bash, Apache Airflow) to automate workflows and reduce operational overhead. Root Cause Analysis & Incident Management : Lead post-incident reviews, perform root cause analysis for data disruptions … architectures and cloud-based solutions. Has the following technical skills: Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. In-depth experience with cloud More ❯
