Staff Data Engineer (aws, Big Data)

Bonneville Bank

Sydney, New South Wales, Australia
On-site
Aws cloud technologies
Big data platforms (hadoop, spark)
Data pipeline development
Build state-of-the-art data solutions that power seamless experiences for millions of customers

Job Summary

  • Build state-of-the-art data solutions that power seamless experiences for millions of customers.
  • You’ll be part of a team of engineers going above and beyond to improve the standard of digital banking using the latest tech.
  • We work across different platforms like AWS Cloud, Cloudera Hadoop Big Data, Teradata Group Data Warehouse, Ab Initio, Reporting, Advanced Analytics, Gen AI, etc.

Matching Summary

Build state-of-the-art data solutions that power seamless experiences for millions of customers.

Skills & Requirements

Must-have

  • AWS Cloud technologies
  • Big Data platforms (Hadoop, Spark)
  • Data pipeline development
  • Programming (Scala, Java, Python)
  • SQL scripting
  • Source control and CI/CD

Nice-to-have

  • Thought leadership
  • Mentoring other engineers
  • Data mesh principles
  • Teradata experience
  • CloudFormation and GitOps

Key Requirements

  • Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions
  • Experience in building data solution in Hadoop platform
  • Experience in building data solution using AWS Cloud technology
  • Ability to produce conceptual, logical and physical data models
  • Knowledge of building robust data products, and Enterprise Semantic Data Models
  • Strong Unix/Linux Shell scripting and programming skills
  • Proficient in SQL scripting
  • Experience with Source control, DevSecOps, and CI/CD tooling
  • Experience with CloudFormation, GitOps, and serverless frameworks
  • Ability to fine-tune ETL jobs, query performance, and cost efficiencies

Work Rights

Not specified

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