Data Engineer developing data pipelines and data assets at Australian Payments Plus. Managing complex datasets and ensuring data integrity using modern data platforms.
Responsibilities
Build and develop data pipelines to ingest and transform data. Make data available for business use, as per project and operational requirements.
Ensure data integrity (accuracy, consistency, and completeness), of the data available on the modern data platform (Snowflake).
Work with data analysts and business users to build and maintain the master data catalogue and system documentation.
Build and maintain integrations between data lake, data warehouse, real-time streaming platforms, databases, ETL tools, governance, and BI tools.
Write python scripts to manipulate and transform complex datasets, merge different data sets together, reformat data.
Create and Publish data flow diagrams and data models.
Secure data at rest and in Transit through encryption.
Deploy automated machine learning data models that meet the desired business outcomes.
Support platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues.
Work closely with the team to ensure deliverables and targets are being met.
Provide second level support on a rotational roster.
Requirements
Tertiary qualification in engineering, mathematics, computer science, or a related discipline.
2+ years of experience in building and maintaining bank grade data infrastructure.
Experience in transforming and manipulating large and complex datasets.
Experienced with SQL and NoSQL modern data stores, able to write complex queries and transformations.
Experienced in implementing data warehousing (snowflake) solutions in large commercial environments and transforming and manipulating large and complex data sets.
Enjoys working in an agile team and can work on user stories autonomously.
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
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