We have opening for Cloud Application Development Engineer

Job Description

Job ID: JRhidden_mobileJob Category: Software EngineeringPrimary Location: Bangalore, KA INOther Locations:Job Type: Experienced HireCloud Application Development Engineer Job Description Responsibilities Understand customers overall data estate, IT and business priorities and success measures to design implementation architectures and solutions. Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.) Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment Develop deep relationships with key customer IT decision makers and relevant business decision makers (like AI or Analytics), who drive long-term cloud adoption within their company to enable them to be cloud advocates Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers Assess the Customers knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners. Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms. Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform Be an Azure Platform evangelist with customers, partners and external communities.Qualifications Bachelors degree in Computer Science, Information Technology, Engineer or related field preferred Certification in one or more of the following technologies preferred: Cloud, Database, BI, Data Science, Machine Learning, Artificial Intelligence 9-12 years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required Relationship Building. Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts. Experience in managing various stakeholder relationships to get consensus on solution/projects. Required Background in the ITeS industry and good business acumen to quickly understand the customers industry and business to have relevant discussions with business decision makers. Problem Solving. Ability to solve customer problems through cloud technologies Required Collaboration and Communication. Acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Database administrators and Data Scientist) Required Technical Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management. required The technical aptitude and experience to learn new technologies and understand relevant cloud trend Competitive Landscape: Knowledge of cloud development platforms Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs preferred Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Analytics and AI Platform Cloud solutions required SQL including OSS (postgres, MySQL etc), Azure SQL Required NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB Preferred Big Data including SQL DW, Snowflake, Big Query, Redshift Required Advanced Analytics including Azure Data Factory, Synapse, Azure Data Bricks, visualization tools as PowerBI, Tableau Required Data Governance Required Data Engineering Data Science Machine Learning including Azure ML, ML Server Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, PythonInside this Business Group Intels Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.Legal Disclaimer:Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at www.jobs.intel.com and not fall prey to unscrupulous elements.INExperienced HireJRhidden_mobileBangaloreInformation Technology Group,

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