You will be working in the Transaction Monitoring and Data Controls team designing, implementing, and operationalising Java components
Job Summary
You will be working in the Transaction Monitoring and Data Controls team designing, implementing, and operationalising Java components.
Design, build, and maintain scalable and reliable PySpark/DBT/BigQuery data pipelines, pre-dominantly on Google Cloud Platform (GCP) to process high-volume transaction data for regulatory and internal compliance monitoring.
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral).
Matching Summary
You will be working in the Transaction Monitoring and Data Controls team designing, implementing, and operationalising Java components.
Skills & Requirements
Must-have
PySpark/DBT/BigQuery data pipelines
Google Cloud Platform (GCP)
Java/Scala/Kotlin with Apache Spark
Python with PySpark
SQL based using DBT
Data warehousing technology (Google Big Query)
DevOps pipelines in CI/CD tool
Nice-to-have
Agile delivery model
Continuous learning culture
Globally distributed team collaboration
Excellent communication skills
Key Requirements
At least one of: Java/Scala/Kotlin
At least one data warehousing technology
Hands on experience writing and maintaining DevOps pipelines
Experience contributing to software design and architecture
Experience navigating and engineering within a secure, enterprise hybrid cloud environment
Experience of working with a globally distributed team