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As an experienced Data Engineer with strong Data and ETL hands-on expertise, you will play a crucial role in the implementation of data engineering epics. With your strong problem solving and technical expertise you will improve our platform efficiency by advancing our AI and automation capabilities.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

Expert Big Data and Hadoop experience with a focus on Spark, Hive, Presto (or other query engines), big data storage formats (such as Parquet, ORC, Avro) and data pipeline orchestration tools like Airflow

Expert in Spark SQL, with proven ability in tuning and optimisation

Proven hands-on experience in implementing data integration tools such as Talend, and data warehouses

Strong AWS experience with any or all of the following (EC2, S3, RDS, EKS)

Ability to drive platform efficiency by extending our Automation and AI capabilities. Experience with python is preferred

· Understanding of data governance areas such as data lineage, technical metadata. Data quality and reconciliation

Understanding of Data Architecture expertise including different data modelling techniques

Strong programming background in Scala, Java or Python

Experience in data modelling is a plus.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.