5 of 5 Apache Spark Jobs in Cambridgeshire

and running hybrids. Container orchestration deployment, configuration, and administration. (e.g. Docker Swarm, Kubernetes). Automation and configuration management (e.g., Ansible, Puppet, Chef). Analytics infrastructure and tooling (e.g. Databricks, Apache Spark). Technical leadership, championing standard methodologies, and leading technical product transformations. In Return: We are proud to have a set of behaviours that reflect our culture and More ❯

Science or a related field. Experience working on and shipping live service games. Experience working on Spring Boot projects. Experience deploying software/services on Kubernetes. Experience working with Apache Spark and Iceberg. More ❯

QUALIFICATIONS - 3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a More ❯

current cyber security threats, actors and their techniques Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your More ❯

Who we are looking for State Street Associates (SSA) is looking for a highly skilled and motivated Data Scientist with hands-on experience working with Oracle database and Databricks Spark on AWS. This role will be responsible for managing and analyzing terabytes of data hosted in enterprise data warehouse and leveraging large-scale data platforms to advancing new research … compliance with company policies and regulatory requirements. Work with terabytes of structured and semi-structured data from our enterprise data warehouse, primarily stored in Oracle and integrated with Databricks Spark on AWS. Write efficient, production-quality SQL and PL/SQL queries for data extraction and transformation in Oracle. Leverage Databricks Spark and PySpark to process large datasets … roles, privileges, user management, and data security). Working knowledge of AWS core services, including S3, EC2/EMR, IAM, Athena, Glue or Redshift. Hands-on experience with Databricks Spark on large datasets, using PySpark, Scala, or SQL. Familiarity with Delta Lake, Unity Catalog or similar data lakehouse technologies. Proficient in Linux environments, including experience with shell scripting, basic More ❯