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Helping Hortonworks's professional services … Create a Resume in Minutes with Professional Resume Templates, Modern Data Architecture & Big Data Consultant. Sr .Siebel Consultant/ Data Architect. Designer, builder and manager of Big Data infrastructures. 1,285 Aws Big Data Consultant jobs available on Indeed.com. This guide will show you: A data analyst resume example better than 9 out of 10 other resumes. 189 Amazon Big data consultant jobs, including salaries, reviews, and other job information posted anonymously by Amazon Big data consultant employees. Present the most important skills in your resume, there's a list of typical big data consultant skills: Demonstrating substantial depth of knowledge and experience in Big Data and Java development Experience with the implementation of ETL, reporting, business intelligence technologies and high volume batch processing involving large data stores How to Prepare for Your Interview and Land the Job. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings, Superior Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. 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. Skills include: Yes, That’s true, BigDatakb.com can send your CV to all top job consultants across India & USA. Should possess good communication skills. Data Flow Studio or Cloudera Data Science Workbench is a plus Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi necessary to build and maintain complex queries, streaming and real-time data pipelines 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. SAP, Hadoop and Micro Strategy. Good Data Analyst Resume Summary. 103 Deloitte Big Data Consultant jobs, including salaries, reviews, and other job information posted anonymously by Deloitte Big Data Consultant employees. Former small business owner and recipient of an MBA. Led the data conversion effort for the hospitality upgrade from Siebel. Possessing strong technical skills rooted in substantial training as an engineer. It’s actually very simple. Dual/Previous degree in Computer Science and Operations Research a big plus, Five plus years of consulting or client services background. Big Data Architects are responsible for designing and implementing the infrastructure needed to store and process large data amounts. 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. RUBIX’s core business is All Things Data. ), Minimum 2-3 years of experience in Data Analytics/ Data analysis, Minimum 3 years of Java/Scala, Python, R, Pig programming, and/or HiveQL experience, Minimum 3 years implementing analytic solutions in large scale, distributed environments using techniques such as machine learning, forecasting, clustering, sentiment analysis, etc, Minimum 3 years working with traditional ETL tools and other streaming tools such as Kafka, Storm, or Spark Streaming, 2 years’ experience with BI/Architecture and Cognos, Experience with Greenplum, Exadata, Cassandra, Spark, HBase, graphDBs, key-value stores, or NoSQL systems, Experience using search tools such as Elasticsearch or Solr, Experience using advanced analytic tools such as Mahout, Scikit-learn, MLLib, or other related toolkits, Experience with authentication security protocols (Kerberos, Knox or Ranger), Desire to work in distributed information systems environments, Excellent leadership, management, communication (written and oral) and interpersonal skills, Proven ability to build, manage, and foster a team-oriented environment, Can work with minimal supervision and is a self starter, Vendor landscape and technology assessment (covering for example Hadoop, Map Reduce, NoSQL etc), Solution architecture formulation (including role of conventional information management platforms), Proof of concept execution to prove the value of Big Data use cases, Full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment, Assess emerging trends in storage access which includes the application of existing high performance distributed file system storage technologies for use by applications in lieu to traditional relational database storage methods, We are looking for candidates with a broad set of technology skills to provide thought leadership, solution architecting and implementation experience for robust Big Data solutions for big data opportunities, and to grow big data skills and capabilities, Deep experience across systems integration, information management, data management and architecture, and business analytics, Experience with large-scale, multi-release information centric projects, Experience with waterfall and agile delivery approaches, End to end implementation of at least 1 big data project using at least 1 of Hadoop, Map Reduce, NoSQL platforms, TCO assessment versus using conventional IM platforms, Deep design experience on high-scale or distributed systems (such as Hadoop), Implementation expertise with high performance distributed parallel file system storage technology such HDFS or similar, Implementation expertise with a distributed structured storage technology such as BigTable, Cassandra, Dynamo, Mongo or similar NoSQL solution, Deep experience with the Implementation of ETL, reporting, business intelligence technologies and high volume batch processing involving large data stores, Design and implementation of a medium to large custom application data model, Hands-on experience with the Hadoop stack (e.g. 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. Due to strong client demand, we are looking for some Big Data Consultants to join the team. If you look at the data analyst CV sample, you will see that there are a few ways to emphasize your skills. They are currently looking for an AWS Big Data Consultant to join their team on a contract basis. For data scientists working in-house, salaries range from $54,000 to $140,000 per year, with the average salary being $94,000. Experience in the following skill set is indicative: Incorporate industry and HP best practices in the architectural design, Follow project management methodology and ensure the timely delivery of architectural designs, SME in one or more of the business areas like finance, Supply chain, Marketing, Customer Support, Participating in vendor landscape and technology assessments (covering for example Hadoop, Map Reduce, NoSQL etc. Kafka and equivalents, Analyze and extract relevant information from business data to help automate and optimize key processes, Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation, 6+ years of industry experience in predictive modeling and analysis, predictive software development, Experience using machine learning libraries, such as scikit-learn, caret, mlr, mllib, Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications, Strong communication and data presentation skills, 8+ years of industry experience in predictive modeling and analysis, predictive software development, Experience working with distributed systems and grid computing, Publications or presentation in recognized Machine Learning and Data Mining journals/conferences, 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 Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, Amazon Aurora (SQL), DynamoDB (NoSQL), Relational Database Service (RDS), Amazon EMR (Hadoop), and Amazon Redshift (EDW), Demonstrated industry leadership in the fields of database, data warehousing, or data sciences, Deep understanding and implementation experience of database and analytical technologies in the industry including MPP databases, noSQL storage, Data Warehouse design, BI reporting and Dashboard development, or AI, Demonstrated ability to think strategically about business, product, and technical challenges in an global environment, 3 plus years of hands-on technical experience estimating and conceptualizing large scale data solutions, preferably using one or more of the following technologies (Hadoop, Cassandra, Green Plum, Vertica, Aster), 3 plus years of experience in building and deploying solutions to big data problems with various technologies, 3 plus years of experience in building and implementing an architecture roadmap for next generation enterprise data and analytics solutions, Minimum 2 years of experience in working with emerging big data technology vendors (e.g. Engagements will include migration of existing applications and development of new applications using the cloud services, These professional services engagements will focus on customer solutions such as HPC, batch data processing, Big Data and Business intelligence. Proficiencies in programming language, big data analytics, and Structures Query Language are just a few of the digital skills that hiring managers often want data analyst job contenders to possess. Write a Resume Recruiters Can't Resist. ), Executing proof of concepts to assess the value of Big Data use cases, Building and implementing an architecture roadmap for next generation Big Data Analytics solutions for our clients, Participating in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment, Working in collaboration with Accenture's global network of experts and delivery centers, 4+ years of strong architecture experience, Understanding of traditional ETL tools, RDBMS, SQL, Experience on Big Data and NoSQL technologies, Building non-relational data models on NoSQL data stores, Building applications using NoSQL data store such as Hbase, Cassandra, Vertica etc, Delivering an operational Big Data solution using one or more of the following technologies (Hadoop, Cassandra, GreenPlum, Vertica, Aster, Hortonworks, Cloudera), Hands-on MapReduce coding, including Java, Python, Pig programming, Excellent written and oral/presentation skills in English, Strong interest in growing your own technology skills, Define Big Data strategy, including designing multi-phased implementation roadmaps, Data wrangling of heterogeneous data and explore and discover new insights, Proficiency in SQL, NoSQL, and relational database design and development, Strong verbal and written communication skills; strong time-management and organizational skills, Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS servicessuch as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift, 5+ years’ experience of IT platform implementation in a highly technical and analytical role, Current hands-on implementation experience required; individual contributors only need apply, BS level technical degree required; Computer Science or Math background preferred, Demonstrated industry leadership in the fields of database, data warehousing or data sciences, Solid Solutions - Deliver on-site technical engagements with partners and customers. R, SAS, SPSS), Extensive experience solving analytical problems using quantitative approaches (e.g. Showcase your story in your big data engineer resume summary. Big Data Architect Resume Examples. Recognized as a thought leader with expert ability to successfully implement end-to-end architecture and design for big data, cloud, data warehouse and business intelligence. ? - Choose from 10 Leading Templates. You may read this post for the list of Data Science job consultants we are in touch with. Data Science Job Consultant List- India. Data Analytics Consulting Resume Statements. 569 Data Scientist Big Data Consultant jobs available on Indeed.com. 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. Minutes with professional resume Templates, modern Data architecture practice into a $ 5M business the conclusion that really. 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