Senior Data Engineer (WFH)
12 Months
Melbourne
$1,000-$1,050pd Inc Super
Are you ready to join one of Australia's leading banks and help shape the future of the financial services industry? A global financial services group, is looking for a talented Senior Data Engineer to join their retail banking space based in Sydney.
Key Responsibilities
As a Senior Data Engineer, you will play a pivotal role in driving our Data Engineering initiatives. You'll be responsible for leveraging cutting-edge big data technologies to deliver Finance, Regulatory & Risk Data and Reports in a rapidly changing regulatory and business landscape. You'll work in a DevOps environment, taking end-to-end ownership of designing, developing, deploying, and supporting data assets. Your role will also involve creating templates, implementing methods, setting standards, and frameworks, while collaborating with various stakeholders and becoming an expert in your domain.
Key Requirements
- Experience leading significant Data Engineering projects in an enterprise environment and mentoring junior staff.
- Proficiency in Big Data and Hadoop with a primary focus on Spark, Hive, Presto (or other query engines), big data storage formats (such as Parquet, ORC, Avro), Bamboo/Ansible (or other CICD tools).
- Experience working in a cloud-based environment, ideally AWS or GCP.
- Excellent SQL and scripting skills.
- Strong knowledge of Spark and experience in implementing data pipelines.
- Broad knowledge of technical solutions, design patterns, and code for complex applications deployed in a distributed computing environment.
If you feel you possess the relevant skills to the above, apply now with most updated CV!