09 Nov
|
CareCone Group
|
Australia
09 Nov
CareCone Group
Australia
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: Contemporary 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 solid motivation to solve problems, no matter how complicated or ambiguous they might be.
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📌 Lead Data Engineer Sydney (Australia)
🏢 CareCone Group
📍 Australia