Summary
β¨ AIβGenerated
A cloud data engineering role focused on designing, building, and migrating data platforms using modern cloud technologies. The position combines architecture expertise with hands-on implementation.
Highlights
Opportunity to design cloud data platforms, work with modern technologies, and collaborate on customer-focused engineering solutions.
Description
Role Description & Requirements
Role and Responsibilities
Key cloud engineer for customer engagementsCollaborate with lead Data Consultant on customer engagementsDefine solution architecture and detailed design for data platforms on GCPBuild solutions, i.e., perform hands on coding for the designed solutionInteract with customer data engineering team to provide sound advice and guidance on solution architecture as well as hands on coding solutionsPerform pair programming with customerβs data engineers and handover the developed solution to customer engineers.
Minimum Qualifications
Solution Architecture Knowledge and Expertise Required
β 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
β Ability to perform research on tools and technology, identify important considerations for technology selection in the architecture, provide recommendations on tool selection
β 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)
β Build data pipelines and CI/CD pipelines
β In-depth knowledge of at least one public cloud, preferably GCP
Tools experience Required
β GCP (GCP preferred, or equivalent in other public clouds acceptable)
β GCP Dataflow, Pub/Sub, Cloud Composer, BigQuery, Cloud Run, Cloud
β Functions,Spanner, CloudBuild, Vertex AI, Terraform
Coding expertise
β Programming knowledge and willingness to be hands-on as part of day to day work
β Knowledge of at least one (preferably both): Python, Java Preferred Qualifications
Solution Architecture Knowledge and Expertise Required
β Experience with open source ecosystem and distributions such as Hadoop, Spark, Cloudera/Hortonworks
β Understanding and experience with NoSQL databases such as HBASE, MongoDB
Tools experience Required
β Other public clouds
β Open source ecosystem and frameworks (Hadoop, SPARK, Oozie, Kafka, HBASE) Certification
At least one of below:
β GCP Data engineering (preferred)
β 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)