Description
Ready to build cloud-native ledger data pipelines on Google Cloud?
Join Group Function Tech - Finance IT as a Senior Developer (Global Career Band 5) working on Finance Google Cloud applications that deliver Finance Ledger applications and related services.
You’ll build and support high-performance batch data pipelines and microservices with clear non-functional requirements across resilience, scalability, latency, observability and security.
Responsibilities:
- Build, deploy and support core services using Apache Spark for Finance Ledger applications
- Deliver hands-on engineering with regular production releases using trunk-based development practices
- Design high-performance data pipelines and microservices meeting resilience, scalability, latency, observability and security needs
- Establish engineering excellence across batch pipelines, data modelling, testing strategy and operational readiness while managing technical debt
- Partner with engineers on code reviews, pair debugging, performance tuning and production incident resolution
- Create automation to improve engineering efficiency including scripting, tooling and testing across unit, regression and functional coverage
- Implement cloud and platform engineering on GCP across services such as Dataflow, Pub/Sub, GCS, Composer (Google-managed Apache Airflow), Dataproc, BigQuery and GKE
- Govern operational excellence for production workloads including monitoring, alerting, capacity planning, reliability improvements and cost optimisation while ensuring data quality, lineage and security controls
- Coach and mentor engineers across levels and communicate delivery plans, risks and dependencies with senior stakeholders
Requirements:
- Demonstrate substantial hands-on development experience with cloud technologies and strong proficiency in Apache Spark
- Apply advanced SQL skills including data modelling, cloud storage mechanisms and file formats such as Parquet and Iceberg
- Use trunk-based development practices and deliver frequent releases to production
- Build or improve end-to-end DevOps pipelines for automated testing, regression and deployments
- Apply experience with GCP data and platform services such as Dataflow, Pub/Sub, GCS, Composer (Apache Airflow), Dataproc, BigQuery and GKE
- Design and run production-grade data pipelines with monitoring, alerting, capacity planning and reliability improvements
- Communicate technical plans and milestones clearly to senior stakeholders while managing risks and dependencies
- Apply planning and organisation skills to prioritise competing demands and deliver change in an operational context.
Bring knowledge of Accounting or Ledger concepts
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