6 of 6 Permanent Amazon EMR Jobs in the UK excluding London

strong proficiency in SQL and PL/SQL, Oracle access control (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 More ❯

Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system More ❯

multi-task Experience as part of an Agile engineering or development team Strong hands-on experience and understanding of working in a cloud environment such as AWS Experience with EMR (Elastic Map Reduce), Spark Strong experience with CI/CD pipelines with Jenkins Experience with the following technologies: SpringBoot, Gradle, Terraform, Ansible, GitHub/GitFlow, PCF/OCP/ More ❯

Experience in a data-focused SRE, Data Platform, or DevOps role*Strong knowledge of Apache Flink, Kafka, and Python in production environments*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)*Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further More ❯

AWS Data Engineer - IT Consultancy - Leeds - Hybrid Are you a data engineer with a passion for AWS and solving real-world business problems? I am working with a fast-growing IT consultancy based in Leeds that's delivering cutting-edge More ❯

from the model, with a focus on AWS S3 storage. • Collaborate with the development team to implement architectural changes and system tweaks. • Work with AWS services such as Lambda, EMR, and DynamoDB to optimize data management processes. • Utilize Spark for data processing and analysis tasks. • Ensure the integrity and security of data during the extraction and processing stages. • Troubleshoot … programming is essential. Strong understanding of cloud technologies, including AWS services such as S3, Lambda, and DynamoDB. Demonstrated experience with database management and backend development. Familiarity with tools like EMR and Spark for data processing. Ability to work independently and as part of a collaborative team. Excellent problem-solving and analytical skills. Prior experience in financial or mortgage industries More ❯