Senior Big Data Engineer (Spark/Scala/Java)
Project description
ACQA is built on Microsoft Azure cloud computing technology. It aims to deliver: • Scalable cost-efficient infrastructure, using cloud PaaS components. • Single core platform, open architecture, designed for change, itemised $cost metrics, automated data lineage. • Shared across Front Office, Finance and Risk, improving regulatory compliance. • One-Platform / One-Experience -fast to train, easy to operate, retaining talent. The ACQA platform is made up of a series of components providing the next generation valuation and risk management services.
Responsibilities
- Work with multiple federated teams to enable them to build Big Data solutions
- Manage the ACQA Databricks platform – provide monitoring and other tooling
- Provide best practices for runtime upgrades
SKILLS
Must have
- Development of big data technologies like Apache Spark and Azure Databricks
- Programming complex production systems in Java and Scala
- Experience in a platform engineering role on a major cloud provider (ideally Microsoft Azure)
- Development and/or operations of CI/CD pipelines using modern cloud-friendly build systems like GitLab
- Experience with containerisation in development, build, and runtime environments, including experience with Kubernetes
Nice to have
• Production experience with Terraform on a major public cloud provider (ideally Microsoft Azure) • Python experience • Testing and instrumentation practices, observability and alerting tooling • Understanding of information modelling, data structures and algorithms • Technical architecture and low-level design • Agile development and planning practices • Ability to collaborate effectively in a large global team and influence key architectural decisions
