
Lead Data Engineer
1 week ago
Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering, and technology-enabled transformation programs.We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world.
By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value.A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimization as well as IT-enabled transformation.
Key Role Skill & Capability Requirements: Experience as an Azure Data Bricks.Demonstrated experience of turning business use cases and requirements into technical solutions.Knowledge of Azure Data Factory, Azure Data Lake, Synapse, and Azure SQL is required.Experience in Data Warehousing Modelling - optional.Experience in business processing mapping of data and analytics solutions.Good understanding OR ability to conduct data profiling, cataloging 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 Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.Knowledge/experience in Azure IoT, Databricks/Spark, Azure Cosmos DB, Azure Stream Analytics is mandatory.Knowledge of Python is a plus.Experience preparing data for Data Science/Machine Learning/BI solutions.Strong team collaboration and experience working with remote teams.Working experience with Visual Studio, PowerShell Scripting, and ARM templates.Experience with DevOps/Git/TFS/VSTS.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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Data Engineering Lead
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Lead Data Engineer
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Leading Data Engineer
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