Big Data Engineer

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:

Development of big data technologies like Apache Spark and Azure Databricks

Programming complex production systems in Scala or Java or Python

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 of Kubernetes

Mandatory Skills Description:

Development of big data technologies like Apache Spark and Azure Databricks

Programming complex production systems in Scala or Java or Python

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 of Kubernetes

Nice-to-Have Skills Description:

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