Location: Sydney, NSW
Experience with Cloud Platforms (Azure, AWS, or GCP)
Familiarity with Data Orchestration tools (e.g., Airflow, ADF)
Exposure to Banking/Financial Services domain
Knowledge of Big Data tools (e.g., Spark, Hadoop)
Experience with CI/CD pipelines and version control (Git)
5 years of experience in data engineering or similar role
Strong proficiency in Python (mandatory and primary skill)
Hands-on experience with Power BI (dashboards, DAX, data modeling)
Experience with ETL processes, data transformation, and pipeline development
Strong understanding of relational databases and SQL
Familiarity with data warehousing concepts
Ability to work in an offshore delivery model
Design, develop, and maintain robust data pipelines using Python
Perform data extraction, transformation, and loading (ETL) from various source systems
Build and optimize data models to support reporting and analytics needs
Develop interactive dashboards and reports in Power BI
Ensure data quality, integrity, and performance optimization across pipelines and reports
Collaborate with business stakeholders to gather requirements and translate them into technical solutions
Support and enhance existing reporting and data engineering frameworks
Contribute to best practices in data engineering and visualization
Minimum Years of Experience: 5 Years
Interested in this role?