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Data Platform Engineer

2 months ago

Sydney, New South Wales, Australia Nine Full time
About the Role

We are seeking a highly skilled Data Platform Engineer to join our team at Nine, a leading media company in Australia. As a Data Platform Engineer, you will play a critical role in designing, building, and maintaining the tooling and cloud infrastructure for our data teams.

Key Responsibilities
  • Assist in building, enhancing, and maintaining data platform tools and improving the use of cloud infrastructure.
  • Contribute to solution designs, architectures, and the development of standards and practices.
  • Focus on observability, monitoring, and alerting across the platform and tools to ensure system health, minimize issues, and proactively identify and resolve issues when they do happen.
  • Collaborate with internal stakeholders, including data engineers, product managers, data scientists, analysts, and business users to understand and support their data platform needs.
  • Communicate technical concepts and solutions effectively to stakeholders with different levels of technical understanding.
  • Demonstrate good engineering practices and behaviors.
  • Be enthusiastic, able to contribute, and learn from wider engineering talent in the team.
  • Stay updated with emerging data engineering technologies and trends, and evaluate their potential benefits to Nine's data platform.
Requirements
  • Proficiency in at least one programming language (e.g. Python, Java).
  • Understanding of good software quality principles, including DRY, unit testing, code reviews, and continuous integration practices.
  • Strong analytical and problem-solving skills to troubleshoot data and technology issues.
  • Comfortable with Git for version control, including tasks like branching, merging, and conflict resolution.
Desirable Qualifications
  • A bachelor's or master's degree in computer science, software engineering, data engineering, data science, information technology, or a related field.
  • Experience with a data processing framework like Apache Spark (including Py Spark).
  • Knowledge of some of the key data tools or frameworks used at Nine, such as DBT, Apache Airflow, Apache Spark, GCP, Big Query.
  • Familiarity with containerization (Docker) for creating, managing, and deploying applications.
  • Experience with SQL and database technologies.
  • Understanding of data warehouse modeling approaches to meet product and business requirements.
  • Experience working with Cloud Platforms, including services for data storage, processing, and analytics.
  • Experience with cloud deployment and test automation using a CI/CD solution such as Cloud Build or Concourse.
  • Experience in deploying and managing cloud infrastructure as code (IaC) using Terraform or similar.