AWS Redshift and Snowflake cloud data expert at staff level Your new company Big 4 bank based in Sydney, Australia with hybrid working Your new role You will be joining an IB&M Data Engineering team. Working with our stakeholders in the Data and Platform crew, you will help drive our commitments in our Data Strategy to achieve our vision of becoming the best AI Bank in the world to better serve customers. You will collaborate with industry leaders to drive forward our mission of revolutionising the fintech landscape. As part of the team, you will be empowered to deliver world-class, competitive banking products and services with unparalleled levels of service and reliability. What you'll need to succeed As a part of the Risk Technology team, you will design, develop, test and should be able to support the data engineering pipelines built using Ab Initio on AWS cloud. You will work on batch and continuous flows, and be able to provide support for productionised jobs, diagnose the production issues and fix them as well. We are interested in hearing from people who: Have solid hands-on experience with building modern data technology stacks and tooling, including database experience with Snowflake, Redshift and Aurora Can create technology blueprints and engineering roadmaps for multi-year data transformational programs. Pride themselves in their understanding of data product mindset and data mesh architecture Are knowledgeable of architectural patterns, cloud-native solutions on AWS, microservices architecture, solutions integration and containerisation. Have comprehensive knowledge of AWS services, particularly those related to data storage and processing, including S3, RDS, Redshift, DataZone and Glue. Are experienced in the data development lifecycle, with a focus on data ingestion processes, data transformation pipelines, data integration, and visualisation. Are knowledgeable of financial markets and/or corporate & institutional lending products is advantageous Have an innate ability to effectively communicate with all stakeholders from sales to technical leadership groups Continuously striving to learn new skills along with a positive 'Can-do' attitude Technology stack AWS Cloud Certified at Associate or Professional level Expertise in AWS compute and services including Redshift & EMR serverless, Airflow, Glue Snowflake, Redshift, Aurora PostgreSQL Event driven architecture using Apache Kafka, AWS Kinesis, or similar Infrastructure as code using CloudFormation or Terraform Proficient in Python, SQL Building CI/CD tooling (Github/Jenkins) Experience with Parquet File Format, Iceberg tables Containerisation (Docker, Kubernetes) Ab initio or DBT tooling Alation, Glue Data Catalogue & AWS DataZone Data visualisation tools and integration to Tableau, PowerBI Observability tools (i.e. Observe, Splunk or Prometheus/Grafana). If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career. 2914350