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Data Platform Lead

1 week ago

Auckland, Auckland, New Zealand Television New Zealand Ltd. Full time

This position involves designing and implementing innovative data solutions using our Azure Data Platform.

You will collaborate with our experienced team to build and maintain scalable and reliable data pipelines and integrations.

Key Responsibilities:

  • Managing and contributing to data movements including data ingestion, curation, and consumption.
  • Participating in data modelling exercises and being a champion in TVNZ data domains such as content, consumer, events, finance, etc.
  • Working in an Agile environment and being an important individual contributor to the overall success of the team and the Data Platform we support.
  • Operating in our existing Azure Data Platform (including all relevant service offerings), having a continuous improvement mindset to challenge the status quo and seek better solutions.
  • Applying best practices where possible such as source control, infrastructure as code, CICD, etc. Being a crucial contributor to TVNZ data platform monitoring observability.
  • Designing, implementing, and documenting well-architected cloud integration solutions, working closely with Architects to ensure the solution is sound, fit-for-purpose, and future-proof.

Requirements:

  • Cloud:
    • Designing and building robust ETL/ELT pipelines and being familiar with services including Azure Databricks, Azure Data Factory, Delta Tables, ADLS, Logic App, Azure Functions, etc.
    • Being a seasoned Data developer in SQL, Python, etc., with sound experience in Big Data processing using PySpark and other technologies.
    • Hands-on experience in MDP (modern data platform) including, but not limited to, Databricks, Snowflake, Azure Data Platform, or equivalent offerings in AWS.
    • Experience with Databricks Medallion Architecture and data modelling approaches such as Star Schema.
    • Track record of setting up data platform observabilities, data quality monitoring, and having a strong view of what good data quality means.
    • Experience in ML modelling building and real-time data processing will be highly regarded.
  • CI/CD:
    • Well-versed in development best practices, with proven technical capability in designing and implementing IaC, CICD, and source control in the context of data development.
    • Appreciating code quality and having a way forward to ensure the quality of code using linting, unit testing, etc.
  • Operational support:
    • Experience with Azure monitoring solutions in the context of Data Platform to oversee data pipeline run history, pipeline health, and overall data quality.
    • Understanding critical corporate reports/dashboards and the datasets behind them, providing support when issues arise.