- No of years of hands-on data engineering experience.
- Advanced SQL and Python knowledge.
- Hands-on ETL/ELT platforms and dimension modelling experience (e.g. Data Lakes, Data Warehousing, Star Schema, Change Data Capture, Orchestration, PII protection).
- Experience with one or more of the major cloud providers (e.g. AWS, GCP, Azure).
- Ideal, but not required: Modern data stack experience (e.g. dbt, Snowflake/Databricks, Airflow, Fivetran/Airbyte).
- Ideal, but not required: Software engineering, MLOps, DevOps experience (e.g. CICD, Source Control, Java, Terraform).
- A “solutions mindset” of natural curiosity and a robust motivation to solve problems, no matter how complicated or ambiguous they might be.
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📌 Lead Data Engineer (Sydney)
🏢 CareCone Group
📍 Sydney
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