Big Data Engineer (Spark/Scala/Java)

📍work from Poland📍

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 and Java

• 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 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

Languages:

English: C1 Advanced