Senior Data Engineer
Team: Data Engineering
Location: Melbourne
Workplace Type: hybrid
Experience:
- Exposure or experience in large scale data transformation
- Experience in design and solution of high-quality data processing pipelines
- Experience working with enterprise data warehouses with a closely integrated system providing or consuming data
- Experience in DBT and ETL
- Knowledge and exposure to Big Data technologies and Cloud Big Data warehouses such as RedShift, and Snowflake
- Experience in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment preferred
- Experience with SQL, Python, and open-source data tooling (Apache Kafka, Spark, ETL processing, etc.)
- Experience in data modelling, analysis, and profiling preferred
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