CommBank
SeniorDataEngineer(AWSCloud,APIIntegration)
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“Senior Data Engineer (AWS Cloud, API Integration) at CommBank. Skills: Data Engineering, AWS Cloud, API Integration, Data Platforms. Design AWS Data Platforms. Build AWS Data Platforms”
Industry & Context.
Solve complex data problems
What They're Looking For.
Must Have
5+ years data engineering, AWS services experience, Data modelling experience, SQL proficiency, ETL/ELT pipeline building, Apache Airflow experience, CI/CD pipeline design, Python proficiency, SQL for scripting, Containerisation technologies, Kubernetes concepts understanding, API design and integration, AI/ML workflow understanding
Nice to Have
Kafka exposure, Snowflake experience
What You'll Do.
Design AWS Data Platforms
Build AWS Data Platforms
Optimize storage layout
Optimize partitioning
Optimize schema evolution
Build batch pipelines
Build streaming pipelines
Design for idempotency
Productionise Airflow orchestration
Implement CI/CD pipelines
Implement automated testing
Implement deployment strategies
Ensure data governance
Ensure data compliance
Implement privacy-by-design
Expose real-time context
Support AI/ML integration
Enable model endpoints
Enable feature pipelines
Collaborate with teams
Ensure performance standards
Ensure reliability standards
Ensure operational excellence
How You'll Work.
Team & Collaboration
Cross-functional teams; CDAO teams; Channel teams
Process & Methodology
Agile
Full Job Description
**Senior Data E****ngineer****(AWS Cloud, API Integration)** * _**We 're **embarking on an exciting Digital Transformation program and are ready to push the boundaries and deliver engineering best practices to elevate the digital experience of our customers_ * _**You have** knowledge and experience that spans both development and architecture, including data engineering, modelling and cloud architecture_ * _**Together we** will build tomorrow's bank today, using world-leading engineering, technology, and innovation._ **Do Work That Matters** We’re driving a major transformation in Marketing & Corporate Affairs (MCA) across Customer Service Channels (voice, chat, email, social, web & mobile). This role focuses on building scalable, secure, and high‑performance data platforms that power real‑time and analytical use cases. You’ll also contribute to API services and AI‑enabled features that enhance customer experiences. You’ll design and deliver data solutions that enable personalised service, operational insights, and intelligent automation across multiple customer touchpoints. Your work will underpin real‑time decisioning, reporting, and AI‑driven capabilities for MCA. **See Yourself in Our Team** You’ll join the Customer Service Channels domain within MCA, partnering with CDAO and channel teams to deliver data pipelines, orchestration frameworks, and integration patterns that support both batch and streaming use cases. While your core strength is data engineering, you’ll also help enable API exposure and AI/ML integration where needed. **Roles & Responsibilities** * Design & Build AWS Data Platforms * Architect, implement, and operate data lakes/lakehouse on S3 with Glue/Athena/Redshift, Iceberg/Hudi/Delta; optimise storage layout, partitioning, compaction, and schema evolution. * Build batch and streaming pipelines using Glue/EMR/Lambda/Step Functions, Kafka (good to have); design for idempotency, replay, DLQs, and exactly‑once/at‑least‑once semantics. * Productioni
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