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