Data Engineer Lead

2 days ago

Sydney, New South Wales, Australia Infosys Singapore & Australia Full time
About the Role

This is a senior leadership position that plays a crucial role in helping the organisation understand how data products can solve customer and business pain points. The role leads the definition of business requirements, value, and outcomes for Data Product families, works closely with engineering teams to build and test the products, and embeds with business teams to track the data products and ensure value realisation.

The role works closely with Executive/Senior Data Product Owners, business/operations teams, data teams, and tech teams to create data products with deep roadmaps aligned to business and customer needs. A key focus will be ensuring that businesses understand and use the products and that there are clear metrics used to track the value of the product over time.

Key Responsibilities
  • Lead the definition of business requirements, value, and outcomes for Data Product families.
  • Work closely with engineering teams to build and test the products.
  • Embed with business teams to track the data products and ensure value realisation.
  • Collaborate with Executive/Senior Data Product Owners, business/operations teams, data teams, and tech teams to create data products with deep roadmaps aligned to business and customer needs.
  • Ensure that businesses understand and use the products and that there are clear metrics used to track the value of the product over time.
Requirements
  • Experience as an AWS Data Bricks engineer.
  • Demonstrated experience in turning business use cases and requirements into technical solutions.
  • Knowledge of AWS Data Factory, Data Lake, Synapse, and Azure SQL is required.
  • Experience in Data Warehousing Modelling is optional.
  • Experience in business processing mapping of data and analytics solutions.
  • Good understanding or ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows.
  • The ability to apply such methods to solve business problems using one or more AWS Data and Analytics services in combination with building data pipelines, data streams, and system integration.
  • Knowledge/experience in AWS IoT, Databricks/Spark, Azure Cosmos DB, and Azure Stream Analytics is mandatory.
  • Experience preparing data for Data Science/Machine Learning/BI solutions.
  • Strong team collaboration and experience working with remote teams.
What We Offer

We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills, and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

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