Data Lead

  • 39194
  • Non-Life - Data Science
  • |
  • Australia
  • |
  • Feb 28, 2021
Insurance
RESPONSIBILITIES
  • Design and development of data engineering assets and scalable feature engineering frameworks to support various Business Unit’s data demands and internal data science activities
  • Evaluate feature importance and manage production of data features
  • Code, test, and document new or modified data models and ETL tools to create robust and scalable data assets for reporting and analytics
  • Data Migration to Azure Cloud technologies and deliver new projects as per new target architecture within Azure data cloud service
  • Establish code standards and guidelines for data specialists
  • Progressive responsibilities that encourage ownership and practice leadership
  • Expand and increase data platform capabilities to resolve new data problems and challenges by identifying, sourcing, and integrating new data
  • Develop ETL solutions on Python, Databricks, Spark, Microsoft Azure Technology Stack to load data across multiple sources into the Data and Analytics platform
  • Implement solutions that adhere to architecture best practices
  • Contribute to our ambition to develop a best practice Data and Analytics platform, leveraging next generation technologies
  • Define and build the data pipelines that will enable faster, better, data-informed decision-making within the business
  • Proactively identify rationalisation opportunities and implement changes to the reporting suite to increase customer usage and reduce wasted effort
  • Ensure data integrity within reports and dashboards by reviewing data, identifying and resolving gaps and inconsistencies, and escalating as required to foster a partnered approach to data accuracy for business reporting purposes
QUALIFICATIONS
  • Bachelor’s degree in information technology or other related discipline
  • Several years experience within data management, solution design and delivery
  • Strong experience in MSBI/SSAS, Cloud experience in Azure Data and Analytics services
  • Experience in design, development, and deployment of BI solutions using Azure Data Factory, Azure Data Bricks and Azure Data Lake
  • Create data pipeline involving diverse systems such Azure SQL DB, Azure SQL DW, Azure Databricks, Databricks Delta Lake, On premise compute
  • Demonstrated experience in leading a team/teams of data experts
  • Passionate in learning about new data tools and best practices
  • Experience in working in Agile teams, able to lead a team and working independently
  • Advanced communication, influencing and negotiation skills, with the ability to articulate and present technical concepts to business leaders
  • Strong working knowledge of the end-to-end data management lifecycle and data quality management
  • Experience working with Microsoft SQL Server, SSAS, Power BI, SQL, MongoDB, Graph databases, R, Python, Spark ETL SQL VStudio, Bamboo, GitHub, and Confluence