7 of 7 Batch Processing Jobs in Scotland

dynamic team. The ideal candidate will have a strong background in Java development, extensive experience with AWS, database management, and preferred work experience in batch processing. As a Senior Java Developer, you will play a crucial role in designing, developing, and maintaining high-performance applications that meet our business … cloud-based solutions, ensuring high availability and scalability. Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality: Ensure code quality through code ...

Support containerized service delivery and operational readiness using Kubernetes, and contribute to CI/CD pipelines and automation Build and support scheduled and background processing (e.g., scheduled jobs and batch processing such as Spring Batch) where applicable to platform capabilities Support operational stability and reliability … hands-on experience with CI/CD pipelines (e.g., Jenkins) and containerized deployment and operations using Kubernetes Experience building and supporting scheduled jobs and batch processing workloads (e.g., Spring Batch or equivalent patterns) Working knowledge of search/indexing concepts, including designing and querying Elasticsearch indexes Hands ...

methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills … ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. What youll do Orchestrate the ingestion, processing, and storage of raw data within structured and unstructured data repositories. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable ...

methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills … ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. What you’ll do Orchestrate the ingestion, processing, and storage of raw data within structured and unstructured data repositories. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable ...

experience with application dependency mapping and impact assessment in complex enterprise environments. Strong technical knowledge in Java/web applications, APIs and integrations, databases, batch processing, cloud infrastructure, network dependencies, IAM/Active Directory, certificates, and monitoring/operational tooling. Confidence in challenging technical findings and identifying gaps. ...

Release Management processes. Experience working with application integrations and interfaces. Strong SQL skills and the ability to analyse and investigate data. Experience supporting batch processing and scheduling technologies. Familiarity with application monitoring and observability tools. Experience working with third-party vendors and technology suppliers. Strong communication skills with ...

Ensure alignment with AVD (Architecture Vision Delta) and security design decisions.**Cloud & Platform Responsibilities****Design and Implement Data Solutions**:o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming … batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs**o Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementso Design, execute and lead POC’s involving Cloud technologies to validate/support the assessment.**Ensure Compliance with Data ...