VP Big Data Engineering Walla! Employers select resumes displaying a degree in computer science or … Data Architect/Big Data Engineer Attained 20% growth in revenue and customers over the last two years by analyzing business needs, collaborating with stakeholders and designing a new data warehouse. Data Architect Job Description Template: Our company is searching for a meticulous and experienced Data Architect to join our talented team. A big data architect studies the organization and meets with clients to understand their data expectations. Used Agile methodology to iterate fast through three versions of the Product Concept with multiple clients, zooming on niche problem area. Their certifications are credible, they have good industry standing and backing, and are accepted worldwide. As other tech jobs become redundant due to dynamic and fast-evolving technologies, this is the one job profile which promises exponential growth. Being a Big Data Architect requires you to be a master of multitude skills, and this program aims at providing you an in-depth knowledge of the entire Big Data Ecosystem. Whether or not you or your organization requires a big data architecture depends on how much data you or your users generate, how quickly you need to stay on top of emerging trends, and how massive are the datasets you need to store. The position will primarily be responsible for identifying best-fit architectural solutions for one or more projects; develop design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Analyze data and industry models as needs require using CA Erwin data modeling tool. Unlike HTML and CSS, which simply dictate how web pages…, We are often confused about certain fields. Hands on experience with multiple NOSQL databases including Riak, Couchbase, HBase and Cassandra. He is involved in planning, designing, and strategizing the roadmap and deciding how the organization moves forward. Individual courses at edureka focus on specialization in one or two specific skills, however if you intend to become a master in Big Data, then this is the path for you to follow. Installing and configuring information systems to ensure functionality. Their responsibilities also include collaborating with other teams in the organization, liaising with stakeholders, consulting with customers, updating their knowledge of industry trends, and ensuring data security. Assess the enterprise’s internal and external data and design blueprint to manage the available data 4. Big Data Engineers like to work on huge problems - mentioning the scale (or the potential) can help gain the attention of top talent.}} Highly effective Leader/Architect with over 12 years of experience specializing in working with big data, cloud, data and analytics platforms. $80.00 /hr. Advised CXO of big firms on disruptive solutions of next-generation technologies for Enterprise 2.0 – pragmatic strategy. Led the team of engineers and coordinated the QA effort including training for prod-ops, QA and presentations to product and executive teams. All of these involve huge data circulation. Creating Proof of Concepts from scratch illustrating how these data integration techniques can meet specific business requirements reducing cost and time to market. An exemplary LinkedIn profile can mean the difference between getting big data job prospects and profile views to getting interview calls from your dream company finding you and offering you a Hadoop job or any other big data job. Here’s how to get a head start! Cloudified complex healthcare systems with SOA to align with business strategy – maturity-driven systematic migration. As a big data architect, you will be the bridge that connects the business side of the operation to the technical side. The caching engine is built to act as a reverse proxy and accelerate the responses sent to millions of devices by intelligent parsing of the JSON content over the wire at nearly 100k per second requests. Your central responsibility as the Data Architect will be to develop, optimize and oversee our company’s conceptual and logical data systems. While most of the about courses are not for free and require considerable financial resources, they are well worth the investment. Design and develop complex database management systems and separate … That sounds like too much, doesn’t it? So, you should have an open and alert mind to process the unique features of both sectors and create an organization-specific data architecture model. – Some of this data may be totally unrelated. if you have advanced mathematical and statistical knowledge and marketing skills. Work with senior management, technical and client teams in order to determine data requirements and best practices for advance data manipulation, storage and analysis strategies in a data warehouse environment. Hadoop is something is a preferred skill/ experience that many employers expect with the Big data architect. The crème de la crème are: Raring to go? Applying machine learning algorithms in order to identify the most significant features across different datasets. Why Is Software Testing Career In Demand In 2020? – Apache Hadoop is a non-negotiable if you want to survive in this field. Handling big data, be it of good or bad quality, is not an easy task. All big data solutions start with one or more data sources. Developed a POC (proof of concept) product using Big Data Analytics, Hadoop for mapreduce and Amazon Cloud Computing platform and Microsoft Azure, Asp.Net with Jquery & Ajax, Bing maps, Json files to speed up data display, Windows Server platform, SQL Server, SQL scripts, and Python for data manipulation and Machine Learning algorithms. The platform consumes tens of billions of user based events/logs and builds the datasets required for personalization. Here is an example of a data architect job description, showing commonly performed duties, tasks, and responsibilities for the role: 1. Big data architecture is one of the few jobs which have no scope of being replaced by automation in the future. Designed the real time analytics and ingestion platform using Storm and kafka. Data Architect, Enterprise Architect, data Visualization, big data specialists, which simply dictate how pages…... Integration techniques can meet specific business requirements reducing cost and time to.. 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