About the role

  • 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.

Job title

Data Engineer

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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