Company
AzureDataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Azure Data Engineer. Skills: Azure Data Engineer, Microsoft Azure, Python, Spark. Be integral part of client engagements. Develop software and systems for execution”
What You'll Achieve.
deliver increasingly complex technology projects; enable analytics using cloud technology; architect advanced cloud-based solutions; launch the build-out of those systems; educating, training, designing, and building end-to-end systems for customers
Industry & Context.
problem solving
What They're Looking For.
Must Have
A bachelor’s degree in Computer Science or related field with 6-10 years of technology experience, 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
Nice to Have
Experience in Azure Infrastructure and Azure Dev Ops will be a plus, Proven track record in keeping existing technical skills and developing new ones, so that you can make contributions to deep architecture discussions around systems and applications in the cloud (Azure)
What You'll Do.
Be integral part of client engagements
Develop software and systems for execution
Work across SDLC phases
Build knowledge base for projects
Communicate effectively
How You'll Work.
Team & Collaboration
Work with a global team of consulting professionals across multiple projects
Communication Scope
communication skills
Process & Methodology
project management
Full Job Description
It's fun to work in a company where people truly BELIEVE in what they are doing! _We 're committed to bringing passion and customer focus to the business._ **Job Location: BLR/MUM/GUR/PUNE/CHENNAI** **Grade: 6/7** _J OB DESCRIPTION: _ If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer -Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. _RESPONSIBILITIES:_ · Be an integral part of large scale client business development and delivery engagements · Develop the software and systems needed for end-to-end execution on large projects · Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions · Build the knowledge base required to deliver increasingly complex technology projects * Team handling, problem solving, project management and communication skills & creative thinking _Q UALIFICATIONS:_ · A bachelor’s degree in Computer Science or related field with 6-10 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 technolog
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