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Infosys

Global digital services and consulting provider

Lead Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMelbourne VIC, AustraliaNo salary listedIn-person

About the Job

Requirements

  • Experience working with Azure Databricks.
  • Demonstrated experience translating business use cases and requirements into technical solutions.
  • Knowledge of Azure Data Factory, Azure Data Lake, Synapse, and Azure SQL.
  • Experience in business process mapping for data and analytics solutions.
  • Good understanding of, or ability to conduct, data profiling, cataloging, and mapping for technical design and construction of technical data flows.
  • Ability to apply these methods to solve business problems using one or more Azure Data and Analytics services, combined with building data pipelines, data streams, and system integration.
  • Knowledge or experience in Azure IoT, Databricks or Spark, Azure Cosmos DB, and Azure Stream Analytics.
  • Experience preparing data for Data Science, Machine Learning, or BI solutions.
  • Experience working with remote teams.
  • Working experience with Visual Studio, PowerShell scripting, and ARM templates.
  • Experience with DevOps, Git, TFS, or VSTS.

Desired Qualifications

  • Experience in data warehousing modelling.
  • Knowledge of Python.

About the Company

Infosys

Global digital services and consulting provider

Infosys is a global provider of digital services and consulting. It helps organizations with software development, cloud solutions, data and analytics, automation, and AI-powered platforms to transform their technology and business operations. The company primarily delivers these capabilities through client projects, outsourcing, and managed services, rather than selling a single standalone product. Infosys differentiates itself by its long-standing global reach (present in over 50 countries) and its breadth of offerings, including a dedicated consulting arm and a business process outsourcing unit, which together cover strategy, design, development, and ongoing operations. Its goal is to guide clients through digital transformation and AI adoption at scale, helping them improve efficiency, agility, and competitiveness over the long term.

Company size
10,001+
Company stage
IPO
Headquarters
Bengaluru, India
Founded
1981

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