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Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems, BI Professional with Expert Knowledge of database schemas, data modeling, visualization and ETL, Strong problem solving and troubleshooting skills with the ability to exercise mature judgment, Strongproblem solving and troubleshooting skills with the ability to exercise maturejudgment, Knowledge of data, master data and metadata related standards, processes and technology, Abilityto work independently and manage multiple task assignments, Highly technical and analytical, possessing 5+ years of IT platform implementation experience, Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment, Strongoral and written communication skills, including presentation skills (MS Visio,MS PowerPoint), Become a subject matter expert and trusted advisor in the analytics discipline, Create algorithms to extract information from large data sets, Identify emergent trend and opportunities for future client growth and development, Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations, Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to for taking business decisions, Collaborate with others in the organization to develop new ideas and brainstorm potential solutions, Innovative and strong analytical and algorithmic problem solvers, Proficiency with statistical analysis tools (e.g. The Guide To Resume Tailoring. Should be able to interact with Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, as well as the people within their organizations, Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Former small business owner and recipient of an MBA. Big Data Engineer. 189 Amazon Big data consultant jobs, including salaries, reviews, and other job information posted anonymously by Amazon Big data consultant employees. Summary : Highly self-motivated, detail and results oriented, responsible, and enthusiastic Senior Financial Data Analyst with a diverse background in finance, accounting, and reporting systems. R, SAS, SPSS), Extensive experience solving analytical problems using quantitative approaches (e.g. Data Analytics Consulting Resume Statements. Must have skills and experience include: Control-M, Podium, Data Lakes, hands-on development and strong AWS You will be responsible for modernisation of enterprise data solutions on AWS cloud integrating native AWS services and 3rd party data technologies. Partnered with engineers to build actionable KPIs and user-friendly dashboards. Big Data Consultant, 02/2016 to Current Hortonworks – Santa Clara, CA. Comfortable working on Linux and Windows. Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence ... Get email updates for new Big Data Consultant jobs in St Louis, MO. Good Data Analyst Resume Summary. ? You are a passionate evangelist. - Choose from 10 Leading Templates. Sr .Siebel Consultant/ Data Architect. Any prior experience with a blue chip global management consulting firm is also a plus, Strong experience in consultative selling and large scale analytics project delivery, Strong executive presence and inspirational leadership qualities, Good understanding and knowledge of statistical tools (SAS, R), analytical methods and big data technologies (Hadoop), PhD/MS in quantitative sciences or Post Grad in Management (Marketing/ Finance/SCM) preferably from a US university or Indian management school, Minimum 1 year implementing relational data models, Minimum of a Bachelor’s Degree or 3 years IT/Programming experience, Minimum 1 year of experience Developing REST web services, Data Science and Analytics (machine learning, analytical models, MAHOUT, etc. 8+ years of IT experience in Big Data Analytics, Hadoop and Java development. Helping Hortonworks's professional services … Started and grew new modern data architecture practice into a $5M business. 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Big Data Consulting The immense wealth of intelligence captured by enterprises made harnessing and analyzing large data sets the key basis of competition and growth. Skills include: Senior Financial Data Analyst Resume. You believe that DMI wants to “change the game” and win the new world of Analytics and Data Visualization! administration, configuration management, monitoring, debugging, and performance tuning), Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica), Knowledge of NoSQL platforms (e.g. A collaborative engineering professional with substantial experience designing and executing solutions for complex business problems involving large scale data warehousing, real … in production, Minimum 2+ years of organizing and architecting data at scale for Hadoop/NoSQL data stores, Minimum 1+ year of MapReduce coding, including Java, Python, Pig programming, Hadoop Streaming, HiveQL for data analysis of production applications, Minimum 2+ years designing and implementing relational data models working with RDBMS move to preferred, Minimum 2+ years working with traditional as well as Big Data ETL tools move to preferred, Minimum 2+ years of experience designing and building REST web services move to preferred, Minimum 2+ years of building and deploying Java apps to production move to preferred, Minimum 1+ years of administering and managing large production Hadoop/NoSQL clusters, Architect modern data solutions in a hybrid environment of traditional and modern data technologies such as Hadoop, NoSQL, Create technical and operational architectures for these solutions incorporating Hadoop, NoSQL and other modern data technologies, Implement and deploy custom solutions/applications using Hadoop/NoSQL, Lead and guide implementation teams and provide technical subject matter expertise in support of the following, Designing, implementing and deploying ETL to load data into Hadoop/NoSQL, Security implementation of a Hadoop/NoSQL solutions, Managing data in Hadoop/NoSQL co-existing with traditional data technologies in a hybrid environment, Troubleshooting production issues with Hadoop/NoSQL, Performance tuning of a Hadoop/NoSQL environment, Guiding team through problem definition, issue identification and work plan development using problem solving principles and past experience, Performing/interpreting value analysis to identify value creation opportunities for clients, 2-3 years of related working experience in Open Source Big Data Technology: Hadoop, Spark, Design and deliver highly relevant experiences for consumers in real time, using the latest technologies to increase awareness, engagement, sales and profits, 7 years of experience with 5 years of hands on predictive analytics experience using structured and unstructured data to solve business problems, 5 years of leadership experience leading and building large analytics centers of excellence comprised of senior analytics consultants and data scientists, 5 years of experience deploying large analytics initiatives/ programs across industry verticals is a must. This experience will embrace the delivery of decision support systems or business intelligence tools based on Big Data technologies (Hadoop/Pig/Hive), ETL, and data visualization (Tableau expertise highly desirable), Solid knowledge of RDBMS (Oracle/Teradata/MySQL), Ability to develop numerical algorithms in a procedural language (Java strongly preferred), Proficiency in Unix/Linux as well as scripting languages (Shell/Perl/Python), Fundamental understanding of business and the ability to translate client business issues into meaningful model representations, Multi-lingual capabilities and extensive international experience are highly desired, Playing a contributor role in on-site Operations Research consulting projects requiring up to 75% travel, Evaluating customer requirements and collaborating with both internal and external teams in solution development, Designing functional/logical models, developing software for optimization and data management (access, load, manipulation etc.) Design, implement and deploy custom applications on Hadoop Implementation of complete Big Data solutions, including data acquisition, storage, transformation, and analysis Design, implement and deploy ETL to load data into Hadoop Guide the recruiter to the conclusion that you are the best candidate for the big data consultant job. in Computer Science, related fields or commensurate work experience, Project experience implementing core infrastructure, networking and cloud based services for business teams or consumers, Experience implementing Lambda architecture-based data designs, Deep product knowledge and understanding of Microsoft Azure, AWS, Google Cloud, Experience configuring and tuning virtual private clouds, Practical experience sizing hardware and storage needs, Strong analytical problem solving ability, Self-starter with the ability to work independently or as part of a project team, Capability to perform Performance analysis, troubleshooting and remediation, Knowledge of High Availability and Disaster Recovery principles, patterns and usage, Understanding of cloud ecosystem and leading edge cloud emerging technologies, For Azure, HDinsight and SQLserver 2016 a plus, AAE Big Data Senior Managers at Deloitte will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies, Responsibilities include, among others, managing teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures, Design and implement data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters, 6+ years of relevant technology architecture consulting or industry experience, Http://www.ibm.com/ibm/responsibility/initiatives.html, Experience with design and development of Hadoop and Data Lake Solution components across multiple Hadoop platforms like Cloudera, HortonWorks and IBM Big Insights, Strong understanding data lake approaches, industry standards and industry best practices, Detail level design and build of HADOOP based data components including migrating from traditional data warehouses and leveraging the data lake for gathering insights from social media and external data streams, Minimum of 2 years hands on experience in the Hadoop technologies implementation with more than 3 years in the data warehouse, analytics, data management and data integration space, Experience with one or more years of these skills: Cloudera, Horton Works, IBM Insights, MongoDB, Spark, Storm, HDFS, HBase, HIVE, PIG, Java/C++, SQL, Linux, Cassandra. Leverage best practices and solutions across regions. key-value stores, graph databases, RDF triple stores), Self-starter, with a keen interest in technology and highly motivated towards success, Must show initiative and desire to learn business subjects, Excellent problem solving skills; proven teamwork and communication skills, Readiness to travel in Belgium and abroad with varying intensity, Experience is application such as: Hadoop, Splunk, Cassandra, Java, Storm-Kafka, Bilingual: Proficiency in French is an asset, Eligibility to travel and work in throughout Canada, Lead development teams in building large - scale, high - speed, and low - latency data solutions in the areas of large scale data manipulation, long - term data storage, data warehousing, low - latency retrieval systems, real - time reporting and analytics, Data visualizations, BI reports, dashboards, and ad - hoc analytics, Translate complex functional and technical requirements into detailed design documents, Perform analysis of data sets and uncover insights, Propose best practices / standards for Big Data and Service Oriented Architecture solutions, Ensure that all development solutions are properly aligned with the tools and architectural best practice patterns used across the company, Help shape and augment teams ability to adopt continuous delivery and integration capabilities and utilize DevOps best practices to improve delivery automation, collaboration, and efficiency, Highly technical and analytical, possessing significant IT implementation experience, Deep hands-on experience leading the design, development and deployment of business software at scale, BS level technical degree required; Computer Science or Math background preferred; MS degree desired, Representing DMI and its Big Data services in Europe, Work effectively within a team environment to maximize revenue potential and ensure customer success, Independently run discovery sessions with customers and internal team, Effectively advise and influence customers through consultative selling techniques, Articulate analytic solutions in terms of ROI to the customer, Together with the Customer Experience and Delivery team work as a consultant for the customer up to 50% of total time, Research the customer environment to create effective business impact models, build business cases, ROI models, Keep up with trends and specialist knowledge of Analytics, data visualization and associated solutions, Support in ensuring that we meet and exceed revenue targets for Big Data in Europe, Minimum of a Bachelor's Degree in related fields (Business / Engineering or Technology), 5 + years' experience in selling analytics and business intelligence services to Fortune 500 companies, Must have relevant software (BI, database, ERP, CRM, Big Data with e.g. Find Amazon Big data consultant jobs on Glassdoor. Pivots, Statistical Measures, Charts, Graphs, etc, Ability to manage multiple competing tasks and deadlines, Strong communication skills both written and oral, Self-Starter and the ability to work independently, Experience with programming languages such as C#, VBA, and Python, Experience using and developing in MS Access, Prior experience creating and developing SSIS packages, Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use the services such as (EC2), Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR), Delivery - Engagements include short on-site projects support new distributed computing solutions that often span private cloud and public cloud services. Responsible for solving big data challenges that companies face, thereby helping them safely and securely migrate to better IT infrastructure. - Instantly download in PDF format or share a custom link. Get hired. Showcase your story in your big data engineer resume summary. So, here are my thoughts. ? Love your job. Data Science Job Consultant List- India. including Map Reduce, Pig/Hive scripts, support apps (UDFs and scripts for job scheduling) and test plans, Providing operational support and software testing help, Documenting design and implementation of underlying processes, Preparing project plans, issue/change management, and source code management, Consultantsfunction as integrators between business needs and technology solutions,helping to create technology solutions to meet clients’ business needs.Consultants gain exposure to multiple industries while demonstrating anawareness of the full breadth of services offered by Deloitte Consulting LLP, Responsibilitiesinclude defining systems strategy, developing system requirements, designing,prototyping, and testing custom technology solutions, and supporting systemimplementation, 2+years of relevant technology architecture consulting or industry experience toinclude experience in Information delivery, Analytics and Business Intelligencebased on data from hybrid of Hadoop Distributed File System (HDFS),non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses, Atleast 1 year hands-on working experience with one or more of the followingtechnologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari,MapReduce and R, Bachelor’sDegree or 4 years equivalent professional experience, Understandingof the benefits of data warehousing, data architecture, data quality processes,data warehousing design and implementation, table structure, fact and dimensiontables, logical and physical database design, data modeling, reporting processmetadata, and ETL processes, Experiencedesigning and implementing reporting and visualization for unstructured andstructured data sets, Experiencedesigning and developing data cleansing routines utilizing typical data qualityfunctions involving standardization, transformation, rationalization, linkingand matching, Knowledgeof data, master data and metadata related standards, processes and technology, Experienceworking with multi-Terabyte data sets, An advanced degree in the area ofspecialization is preferred, Consultants function as integrators between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs. It’s actually very simple. See All Guides. Possessing strong technical skills rooted in substantial training as an engineer. SAS, SPSS, R, Mahout), Hands-on experience with "productionalizing" Hadoop applications (e.g. Guide the recruiter to the conclusion that you are the best candidate for the big data consultant job. Big Data Architects are responsible for designing and implementing the infrastructure needed to store and process large data amounts. The majority of companies require a resume in order to apply to any of their open jobs, and a resume is often the first layer of the process in getting past the “Gatekeeper” — the recruiter or hiring manager. Data Science Job Consultant List- United States How to write a data analyst resume that … The big data resume summary showcases who you are as a professional. The Ultimate Job Interview Preparation Guide. How to Prepare for Your Interview and Land the Job. Engagements will include migration of existing applications and development of new applications using AWS cloud services, Demonstrated ability to think strategically about the business, service offerings, and technical challenges in an enterprise environment, Experience working directly, in-person and remotely with customers regarding standard methodologies, project management and risk mitigation, Experience with database and analytical technologies in the industry such as MPP databases, NoSQL storage, Data Warehouse design, BI reporting and/or Dashboard development, Experience working with Apache Hadoop and/or tools such as Pig and Hive, Current hands-on implementation experience, Computer Science or Math background degree desired, Hands on experience leading large-scale global data warehousing and analytics projects desired, Demonstrated industry leadership in the fields of database, data warehousing or data sciences desired, Implementation and tuning experience specifically using Amazon Elastic Map Reduce and/or tools such as Pig and Hive desired, Track record of implementing AWS services in a variety of distributed computing, enterprise environments desired, Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Machine Learning, Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift, Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. 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Download Big Data Consultant Resume Sample as Image file, Waste Management Consultant Resume Sample, Playing a key contributor role in on-site Big Data consulting projects requiring up to 75% travel, Analyzing application portfolios, identifying dependencies & common infrastructure platform components, and assessing migration feasibility, Cost/Benefit modeling and creating compelling business cases for migration, Building sound business relationships with client counterparts in support of Airline Solutions Operations Research consulting projects, Generating AWS migration roadmaps and driving buy-in across complex organization structures, Collaborating with consulting and managed services partners to build and execute plans, Strong track record of implementing AWS services in a variety of distributed computing environments, Assist business development teams with pre-sales activities and RFPs, Work as part of a team, to design and develop cloud data solutions, Provide technical direction and oversight to cloud implementation teams, Research, analyze, recommend and select technical approaches for solving difficult and challenging development and integration problems, Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions, Define Cloud Data strategies, including designing multi-phased implementation roadmaps, For AWS, S3, Redshift, Elastic Map Reduce (EMR) a plus, Design & implement work flows using Unix / Linux scripting to perform data ingestion and ETL on Big Data platform, Adopting, utilizing and further developing Accenture's Information Management approaches, methodologies and assets, Involving in sales cases of Information Management work, Work independently, or as part of a team, to design and develop Big Data solutions, Provide hands - on leadership for the design and development of ETL data flows using Big Data Ecosystem tools and technologies, Perform business development (to grow Ericsson business and Consulting Services), Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture, Strong verbal and written communications skills and ability to lead effectively across organizations, Knowledge of cloud computing infrastructure (e.g. Demand, we are in touch with a strong professional statement, salaries range from 54,000... 1,285 Aws Big Data Consultant jobs available on Indeed.com India & USA to! 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