Data Engineer: Spark, SQL & AWS Cloud

DysrupIT Pty is seeking a data engineering professional to design, implement and optimize data pipelines across multiple systems. You will analyze large datasets, develop scalable data models and ensure data quality and governance while collaborating with stakeholders.

The role requires hands-on experience with SQL, Spark, Python and Airflow, plus exposure to cloud platforms (AWS) and data warehousing concepts.