Role Description & Requirements Role and Responsibilities

- Key cloud engineer for customer engagements
- Collaborate with lead Data Consultant on customer engagements
- Define solution architecture and detailed design for data platforms on GCP
- Build solutions, i.e., perform hands on coding for the designed solution
- Interact with customer data engineering team to provide sound advice and guidance on solution architecture as well as hands on coding solutions
- Perform pair programming with customer’s data engineers and handover the developed solution to customer engineers.

Minimum Qualifications

- Solution Architecture Knowledge and Expertise Required

○ Designing data platform architecture and design for
- migrating open source or other public cloud based data platforms to Cloud (pref. GCP)
- Designing green field data platforms on cloud

○ Ability to perform research on tools and technology, identify significant considerations for technology selection in the architecture, provide recommendations on tool selection ○ Define solution architecture and detailed design for
- batch ingestion and processing of data from sources such as files, cloud and on-prem databases,
- streaming solutions for real time data ingestion and processing (such as log analytics, click-stream analytics, real time data ingestion from other types of sources)





○ Build data pipelines and CI/CD pipelines ○ In-depth knowledge of at least one public cloud, preferably GCP
- Tools experience Required

○ GCP (GCP preferred, or equivalent in other public clouds acceptable) ○ GCP Dataflow, Pub/Sub, Cloud Composer, BigQuery, Cloud Run, Cloud

○ Functions,Spanner, CloudBuild, Vertex AI, Terraform

- Coding expertise

○ Programming knowledge and willingness to be hands-on as part of day to day work ○ Knowledge of at least one (preferably both): Python, Java Preferred Qualifications
- Solution Architecture Knowledge and Expertise Required

○ Experience with open source ecosystem and distributions such as Hadoop, Spark, Cloudera/Hortonworks ○ Understanding and experience with NoSQL databases such as HBASE, MongoDB
- Tools experience Required

○ Other public clouds ○ Open source ecosystem and frameworks (Hadoop, SPARK, Oozie, Kafka, HBASE) Certification
- At least one of below:

○ GCP Data engineering (preferred) ○ AWS Customer Experience

- Experience in large enterprise environments, navigating architectural review and approval frameworks, lobbying design submissions, engaging cross-functional stakeholders (Preferably one of the Big Four AU Banks)

📌 GCP DATA ENGINEER (Sydney)
🏢 ALOIS UK
📍 Sydney