Were committed to bringing passion and customer focus to the business.

A bachelor s degree in computer science or related field with 4-8 years of technology experience

Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space

Software development experience using: Object-oriented languages (e.g. Python, PySpark,) and frameworks Database programming using any flavours of SQL

Expertise in relational and dimensional modelling, including big data technologies

Exposure across all the SDLC process, including testing and deployment

Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.

Good knowledge of Python and Spark are required

Good understanding of how to enable analytics using cloud technology and ML Ops

Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus

Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)

Characteristics of a forward thinker and self-starter

Ability to work with a global team of consulting professionals across multiple projects

Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems

Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success Azure data bricks, data factory

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Azure Data Engineer

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