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Keywords / Skills : Tableau

6 - 10 years
Posted: 2019-07-21

Application Engineer
Posted On
21st Jul 2019
Job Ref code
Job Description
Job Description :

Key Job Description/Responsibilities
Deloitte Touche Tohmatsu Limited Job Profile – Big Data Software Engineer Business Area: Global Technology Services Job Family: Business Solutions Job Description We are developing innovative solutions that leverage the latest technologies in open source and the cloud and are building a team of top-notch software engineers to create our next generation web enabled Big Data Analytics and Machine Learning platform. You will be working with all levels of technology from front-end technologies(e.g React framework, Javascript, HTML5, CSS, R, Scala), server side technologies (web APIs on dotnet core, C#, Python, Node.js), backend data processing technologies (Hadoop, Spark R) and Cloud technologies in Azure and Amazon! You should be passionate about technology and love learning new technologies and implementing high quality, highly scalable global solutions. We want you to bring your excitement and technical expertise to deliver high quality work and continuously improve the ways we can better leverage Big Data Analytics and Machine Learning. Most importantly you should brings new thinking, love technology, and be excited to help us take our vision to the next level. This is just the beginning of Big Data Analytics and Machine Learning and we need you to help us define the future and get us there – a huge opportunity awaits! Responsibilities Role Specific Responsibilities • Build, design and implement high-volume, high-scale responsive web front ends, web APIs, data analtycs and machine learning solutions in the cloud • Bring new ideas in cloud, big data, and machine learning software development • Leverage industry knowledge and stay close to technology developments in the open-source and cloud communities • Collaborate with cross-functional teams • Practice and enforce Agile and Scrum development methodologies Qualifications Education: Bachelor’s Degree or equivalent Years of Experience: at least 5 years Qualifications • BS or higher degree in Computer Science/Engineering or related field • Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills. • Solid foundation in building large enterprise scale server applications including APIs, Batch Jobs, parallel and distributed processing modules. • Must have experience building systems on AWS(Amazon Web Services) and/or Microsoft Azure (various PaaS components). • Hands-on experience with Java or C# with dotnet core (a major plus if experience with R, Scala, and Go) • Understanding or experience with any of the following: distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large systems, and/or security • Experience with designing and building modern user interfaces using React, HTML5, CSS, Javascript, Redux/Flux, Peg.js, Quill.js, and NodeJS • Experience with designing and building using micro-services architectural pattern, web APIs using dotnet core & C#, Javascript with Node.js etc. • Experience in as many of the following :- o Experience with many of the following from the Microsoft Azure: Data Lake, Machine Learning, SQL Data Warehouse, SQL Streaming Analytics, Bot Framework, Cognitive Services, Data Catalog, Data Factory, Power BI, KeyVault, Azure AD, Azure SQL, AppInsights o Experience with HDInsight, Spark, (a major plus if experience with Storm, Kafka, etc.) o Experience with MongoDB, Redis, and ShareDB o Experience with queue-ing technologies, such as RabbitMQ and JobServer o Experience with R o Experience with Kubernetes and Docker o Experience with monitoring technologies such as New Relic and Microsoft OMS • Outstanding communicator with both business and technology audiences • Knows what is possible using latest technologies (open source, data stores, algorithms, etc.) • Extensive experience working across teams and operating in an Agile Scrum culture • Experience with continuous delivery and using agile techniques • Firm sense of accountability and ownership • Passionate for making things better and driving action • Desire to understand our businesses and users • Experience with statistical platforms is a major plus, such as R, SAS, and Informatica • Experience with other visualization tools is a major plus, such as Tableau
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