AWS Cloud Data Engineer — Melbourne, Melbourne Region

Expired

AWS Cloud Data Engineer Job Summary: Join a leading Australian bank in modernizing its data and analytics platform. Work with IT and business stakeholders to implement the bank’s data strategy and help position it as a global leader in AI-driven banking. Key Responsibilities: Develop technology blueprints and engineering roadmaps for multi-year data transformation programs. Design cloud-native, microservices-based, and containerized solutions on AWS. Build and optimize data ingestion, transformation, integration, and visualization pipelines. Ensure seamless integration of AWS services like S3, RDS, Redshift, DataZone, and Glue. Engage with stakeholders and drive projects with a proactive, solutions-oriented mindset. Required Skills & Experience: 8 years in modern data technology, including Snowflake, Redshift, and Aurora. AWS Solution Architect certification. Hands-on experience with AWS services (Redshift, EMR Serverless, Airflow, Glue, Snowflake, Aurora PostgreSQL). Event-driven architecture expertise (Apache Kafka, AWS Kinesis). Infrastructure as code (CloudFormation, Terraform). Proficiency in Python and SQL. CI/CD pipeline development (GitHub, Jenkins). Experience with Parquet file format, Iceberg tables, and containerization (Docker, Kubernetes). Familiarity with DBT, Ab Initio, and data cataloging tools (Alation, Glue Data Catalog, AWS DataZone). Data visualization tool integration (Tableau, Power BI). Observability tools experience (Observe, Splunk, Prometheus, Grafana). Nice-to-Have: Markets domain experience, particularly with Murex, MRE, or Wall Street datasets.