Skip to main contentBeware of Fraudulent RecruitersIt has come to our notice that Fractal Analytics’ name and logo are being misused by certain unscrupulous persons masquerading as Fractal’s authorized representatives to approach job seekers to part with sensitive personal information and/or money in exchange of promise of lucrative job offers in Fractal. Please exercise caution and verify that the person approaching you is a genuine representative of Fractal Analytics, or an authorized consultant, before you provide any personal details or other non-public information. If in doubt, please write to hiring@fractal.ai to seek clarification or report any abuse.This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website. We use this information in order to improve and customize your browsing experience and for analytics about our visitors both on this website. To find out more, see our Privacy Policy here . Read Full Privacy MessageDeclineAccept CookiesSign InAzure Data Engineer page is loadedAzure Data EngineerApplylocationsBengaluruPuneMumbaiChennaiGurgaontime typeFull timeposted onPosted 30+ Days Agojob requisition idSR-25671It'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 DescriptionIf 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 engagementsDevelop the software and systems needed for end-to-end execution on large projectsWork across all phases of SDLC, and use Software Engineering principles to build scaled solutionsBuild the knowledge base required to deliver increasingly complex technology projectsTeam handling, problem solving, project management and communication skills & creative thinkingQUALIFICATIONS:A bachelor’s degree in Computer Science or related field with 6-10 years of technology experienceStrong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise spaceSoftware development experience using: Object-oriented languages (e.g. Python, PySpark,) and frameworksDatabase programming using any flavours of SQLExpertise in relational and dimensional modelling, including big data technologiesExposure across all the SDLC process, including testing and deploymentExpertise 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 requiredGood understanding of how to enable analytics using cloud technology and ML OpsExperience in Azure Infrastructure and Azure Dev Ops will be a strong plusProven 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-starterAbility to work with a global team of consulting professionals across multiple projectsKnack 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 systemsPassion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success.EDUCATION:B.E/B.Tech/M.Tech in Computer Science or related technical degree OR EquivalentIf you like wild growth and working with happy,...
Want jobs like this matched to you?
Swoopd scores fresh postings against your résumé so you only see the matches that matter.