Staff Data Engineer (Sydney)

Staff Data Engineer (Sydney)

16 Sep
|
Tech Aalto
|
Sydney

16 Sep

Tech Aalto

Sydney

2. Staff Data Engineer

Key responsibilities

- Design the Collections Snowflake and PySpark architecture.
- Lead integration with commbank.data.
- Model HPS card and account data for Collections use cases.
- Define data contracts and schema-evolution standards.
- Establish automated data-quality and reconciliation controls.
- Design restartable, idempotent and recoverable pipelines.
- Optimise Snowflake and PySpark workloads.
- Establish production monitoring and data-pipeline observability.
- Lead technical reviews and complex data investigations.
- Mentor Senior Data Engineers and Data Engineers.
- Work closely with Cards MOD, PCC and platform teams.

Essential skills a) Strong production Snowflake experience.

b) Strong production PySpark / Spark experience.

c) Python.

d) Advanced SQL.

e) AWS.

f) S3.

g) Enterprise data engineering.

h) ETL/ELT and data modelling.

i) Data quality and reconciliation.

j) CI/CD and automated testing.

k) Production support.

Highly regarded

EMR / EMR Serverless.

Step Functions.

Lambda.

Cards or payments data.

Collections or lending.

PowerCurve Collections.

Key responsibilities

- Design the Collections Snowflake and PySpark architecture.
- Lead integration with commbank.data.
- Model HPS card and account data for Collections use cases.
- Define data contracts and schema-evolution standards.




- Establish automated data-quality and reconciliation controls.
- Design restartable, idempotent and recoverable pipelines.
- Optimise Snowflake and PySpark workloads.
- Establish production monitoring and data-pipeline observability.
- Lead technical reviews and complex data investigations.
- Mentor Senior Data Engineers and Data Engineers.
- Work closely with Cards MOD, PCC and platform teams.

Essential skills a) Strong production Snowflake experience.

b) Solid production PySpark / Spark experience.

c) Python.

d) Advanced SQL.

e) AWS.

f) S3.

g) Enterprise data engineering.

h) ETL/ELT and data modelling.

i) Data quality and reconciliation.

j) CI/CD and automated testing.

k) Production support.

Highly regarded

EMR / EMR Serverless.

Step Functions.

Lambda.

Cards or payments data.

Collections or lending.

PowerCurve Collections.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

📌 Staff Data Engineer (Sydney)
🏢 Tech Aalto
📍 Sydney

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