Cloud Data & Platform Engineer
Current Job Type
- Permanent
Salary / Rate
- $160000 p/a
Notice Period
- Immediate
Location
- Melbourne
Status
Current Job Type
Salary / Rate
Notice Period
Location
Status
An accomplished Senior Cloud Data Engineer with over 12 years of expertise in designing and implementing modern cloud-based data platforms. With deep proficiency in Snowflake, Databricks, AWS, and Azure, this professional has delivered scalable, high-performance data solutions that drive strategic business insights. Their expertise spans data modeling, ETL/ELT pipeline development, data governance, and cloud-based analytics, ensuring optimal data architecture for organizations. Passionate about mentoring and collaborating with cross-functional teams, they excel in optimizing cloud infrastructure, implementing best practices, and leveraging the latest technologies to enhance data-driven decision-making.
As a Senior Data Engineer, they lead data platform initiatives, designing and implementing data ingestion pipelines using Snowflake, AWS Glue, and Azure Data Factory. Their work includes optimizing data processing with dbt, developing Python-based solutions to integrate APIs into Databricks, and implementing role-based access controls to ensure compliance and security. Previously, they played a key role in enhancing enterprise data warehouses, migrating legacy data into cloud environments, and developing business intelligence reports in Power BI. Their experience spans multiple industries, where they have successfully streamlined data transformation processes, automated deployments, and improved data accessibility across organizations.
They have successfully led the implementation of a cloud-native data warehouse using Snowflake and AWS, improving performance and reducing operational costs. Their expertise in developing scalable ETL pipelines enabled seamless data ingestion from various sources, including Workday, Salesforce, and Infor. Additionally, they were critical in optimizing query execution and performance tuning in Snowflake, resulting in faster reporting and analysis for business users. Their ability to integrate AI-driven analytics and enhance data governance frameworks has significantly improved organizational data management and compliance.
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