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.