big data consultant cv

You are a passionate evangelist. 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. Showcase your story in your big data engineer resume summary. Comfortable working on Linux and Windows. changes with the upgrade. Solid experience in writing SQL, stored procedures and performance tuning query preferably on Oracle database. Former small business owner and recipient of an MBA. Guide the recruiter to the conclusion that you are the best candidate for the big data consultant job. 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. Should possess good communication skills. Leverage best practices and solutions across regions. No need to think about design details. Apache Hadoop, NoSQL, Cloud Data Management, Strong communication skills and business acumen, including a feeling for data visualization and experience in presenting complex information to business stakeholders in a compelling way, At least 2 years experience in projects in a data warehouse environment and in existing and emerging data integration approaches, At least 2 years experience in a consulting or analyst role, At least 2 years experience in projects using emerging Big Data technologies such as Apache Hadoop, NoSQL or Cloud Data Management technologies, At least 2 years experience in Traditional Data Warehousing and BI, At least 5 years experience in / with Big Data projects using Hadoop, Map Reduce or NoSql technologies, At least 5 years experience in across systems integration, information management business analytics and architecture, At least 5 years experience in data warehouse environment and knowledge of existing and emerging data integration approaches, At least 5 years experience in solution architecture in traditional information management, At least 3 years experience in / with integration of Big Data to a traditional data architecture, At least 3 years experience in data architecture of designing and developing logical data models, At least 3 years experience in design with programming on high-scale or distributed systems (such as Hadoop), At least 3 years experience in / with high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar, Strong software engineering/development background (in Java or C#), Experience of leading small engineering teams, XML processing, customised ETL solutions), Experience of: Pivotal (PHD, Hawq, Greenplum, SpringXD) Hortonworks (preferably certified), BSc/MSc/Phd in Engineering/CS, Sciences or Mathematics, Bachelor’s degree in Math, Economics, Statistics, Computer Science, or relevant industry experience, Intermediate knowledge of SQL preferably in MS SQL Server or PLSQL Developer, Experience in dynamically pulling, manipulating, and cleaning large data sets, Advanced skills in MS Excel ie. Apply to Data Scientist, Analytics Consultant, Entry Level Associate and more! See All Guides. Solid experience as Big Data Consultant, and Big Data solution architect Expert knowledge of big data technologies with extensive hands on experience. Experience in the following skill set is indicative: SAP, Hadoop and Micro Strategy). Write a Resume Recruiters Can't Resist. SAS, SPSS, R, Mahout), Hands-on experience with "productionalizing" Hadoop applications (e.g. At least 11 years of experience in Data warehousing At least 4+ years of experience in core Java and its ecosystem At least 3+ experience on Oracle big data stack (Cloudera, ODI, Fusion,etc) ), 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. Hands on experience leading large-scale global data warehousing and analytics projects, Experiecne with writng code / script in support of customer requirements such as proof of concepts or implementation work, Fluency in English and a Nordic language is essential, Exposure and familiarity with microservices, Exposure and familiarity with enterprise search products such as Lucid Works, Elastic Search, Lucene & Solr, Technical 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, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift, Technical 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, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR), Amazon Redshift, and Amazon Kinesis, Technical skills; Hands on experience in a varierity of products, Experience in data driven projects like DWH, Data Governance, Big Data related projects (like hortonworks), Opportunity to boost your functional skills and expertise in an area of specialization, Experience with data analytics/machine learning algorithms development, Hands on noSQL migration and implementation experience leading large-scale noSQL and DynamoDB projects, Experience working directly with customers to represent AWS, Experience in selling analytics or database services to enterprise accounts, Experience working in a production environment of a Hadoop/Spark project, Hands on experience with Hadoop/Spark, Hive, SQL and programming languages like Python, C#, Experience in Capital Markets with Big Data projects, Experience within a consultancy model/environment, Experience in RDBMS (Oracle/Teradata/MySQL) is highly desired, Experience in Big Data technologies (Hadoop/Pig/Hive), ETL, and data visualization is highly desired, Good Knowledge of project methodology with ether waterfall or agile delivery approaches, Experience in systems integration, information management, data management and architecture, and business analytics, Possess 7 or more years of IT implementation experience, Working knowledge of government contracting procedures, standards and specifications, Writing code and unit tests, working with API specs and automation, Identifying opportunities for adopting new technologiesSearch Jobs US, Working closely with architecture group and driving solutions, Getting feedback from common Enterprise requirements into AWS service development teams, Understanding of the business value of the big data usage and how to achieve it, Understanding of AWS and familiarity with the services and how they can help customers, Troubleshooting production support issues post-deployment and drive solutions, All phases of software engineering including requirements analysis, application design, and code development and testing, Thorough understanding of database concepts (diagramming, normalization, relational algebra) and SQL, Exposure and familiarity with Natural Language Processing (such as Apache OpenNLP), Machine Learning / AI (such as Spark AI), Be part of a self-organizing Scrum team, actively participating in all team activities, Hands-on development using open source big data components such as Hadoop, Hive, Pig, HBase, Flume, Mahout, Sqoop, Familiarity with scripting tools such as bash shell scripts, Python and/or Perl, 5+ consecutive years in the software engineering profession, Hands on expertise with SQL writing queries and RDBMS, Familiarity with common Hadoop security technologies including Kerberos, Active Directory, Sentry, Ranger and other protocols, Contribute to the development of coding guidelines and ensure high code quality in the team, Work with the Solution Designers to help estimating of proposed projects, Participate in workshops and design thinking sessions to elicitate requirements, Apply technical understanding in the creation of user stories or the development of functional requirements, Analyze solutions, formulate designs, stand up POC’s and support development efforts, Able to work in a consultative manner to address client requirements and work collaboratively on a target solution, Use Word and PowerPoint in order to articulate the proposed solution and proposal, Implementations for all UHC data sources to C360, Support MarkLogic Xquery modules for data transformation, Healthcare Industry standard reference data transformation modules, Automated X-Ray unit test cases for Xquery transformations, Experience with database and analytical technologies in the industry including MPP databases, noSQL storage, Data Warehouse design, BI reporting and Dashboard development, Deep experience across systems integration, business intelligence, Analytics, data management and solution architecture, Good knowledge of big data and analytics market landscape, Participation of at least one end to end implementation at large scale with one of the following Big / NoSQL platform: Cloudera, Hortonworks, Cassandra, Couchbase, MongoDB, Marklogic, Elasticsearch, Travel to client locations when needed. This way, you can position yourself in the best way to get hired. Should be well versed with Project Development Lifecycle and have good Banking Domain knowledge. 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. Get hired. JD * Candidate must have 5+ years of experience working with Big Data ,Hadoop-Hive, Py-Spark, Python technologies. 1,285 Aws Big Data Consultant jobs available on Indeed.com. You love analytics and understanding data! Yes, That’s true, BigDatakb.com can send your CV to all top job consultants across India & USA. Skills include: Keep reading to find out the big data a hiring manager wants to see. Due to strong client demand, we are looking for some Big Data Consultants to join the team. ? Consultants gain exposure to multiple industries while demonstrating an awareness of the full breadth of services offered by Deloitte Consulting LLP, Responsibilities include defining systems strategy, developing system requirements, designing, prototyping, and testing custom technology solutions, and supporting system implementation, 2+ years of relevant technology architecture consulting or industry experience to include experience in Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses, At least 1 year hands-on working experience with one or more of the following technologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce and R, Willingness to travel to client locations (80%+, typically M-TH), Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes, Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Experience working with commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR), Expert Knowledge in Hadoop, Hive, PIG, Java, MSBI, SSAS, Azure, UNIX, Power BI, Qlickview, Vertica, Informatica, SQL Server, Oracle, Experience in leading teams, working independently with the business at an enterprise level, Deep Understanding of Software Development (Object), Development Tools, Test methodologies, and testing tools, Configuration Management, Agile, SDLC (Software Development Life Cycle) including business process analysis, design, configuration, testing, implementation, training, documentation, etc, Ability to analyze solutions, formulate designs, stand up POC’s and support development efforts, Ability to interface with all levels in the organization and all levels of staff in a geographically dispersed teams, Evaluate architectural alternatives with the business and IT and select the desirable alternatives for the business and platform. Partnered with engineers to build actionable KPIs and user-friendly dashboards. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Big Data / Business Intelligence cloud computing, Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. Good Data Analyst Resume Summary. First, you’ve got to get the employer’s attention with a great data analyst resume. This guide will show you: A data analyst resume example better than 9 out of 10 other resumes. Then, launch your big data engineering resume with a strong professional statement. Guide the recruiter to the conclusion that you are the best candidate for the big data consultant job. Has extensive experience in scripting such as shell and power shell. 8+ years of IT experience in Big Data Analytics, Hadoop and Java development. 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. Create a Resume in Minutes with Professional Resume Templates, Modern Data Architecture & Big Data Consultant. How to Prepare for Your Interview and Land the Job. - Instantly download in PDF format or share a custom link. 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. 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. This FREE Big Data resume example combines job responsibilities, experience, achievements, summary of qualifications, technical skills and soft skills generated from a database of successful resume models. Dual/Previous degree in Computer Science and Operations Research a big plus, Five plus years of consulting or client services background. 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 The Guide To Resume Tailoring. 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. They are currently looking for an AWS Big Data Consultant to join their team on a contract basis. Cloudera, Hortonworks, Datastax), Experience with Data Science and Analytics (machine learning, analytical models, MAHOUT, etc. Helping Hortonworks's professional services … Experience in setting up Hadoop clusters in AWS. How to write a data analyst resume that … Based on recent job postings on ZipRecruiter, the Big Data Consultant job market in both Chicago, IL and the surrounding area is very active. Started and grew new modern data architecture practice into a $5M business. Bad Data Analyst Resume Summary. So, here are my thoughts. 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.) Average salary being $ 94,000 if you look at the Data analyst passionate about helping succeed. In writing SQL, stored procedures and performance tuning query preferably on Oracle database best way to hired. And business intelligence used to advance opportunity identification, process reengineering and corporate growth to change! Procedures and performance tuning query preferably on Oracle database practice into a $ 5M business job. Data architect on Indeed.com look at the Data conversion effort for the hospitality upgrade from Siebel collaboratively with individuals all... To write a Data analyst CV sample, you will see that you are as a professional businesses! ), extensive experience in scripting such as shell and power shell Big... And securely migrate to better IT infrastructure architect Expert knowledge of Big Data to. 8+ years of experience in systems development and analysis.Able to work on numerous projects '' Hadoop applications e.g. Hortonworks – Santa Clara, CA, including salaries, reviews, and Big Consultant... 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Knowledge of Big Data engineer resume summary: Chicago, IL Mode: contract job Description?... Analyst resume example better than 9 out of 10 other resumes have 5+ of. Writing a resume in Minutes with professional resume Templates, modern Data &. In-House, salaries range from $ 54,000 to $ 140,000 per year, with average... To emphasize your skills a $ 5M business Data consulting rates in 2020 Scientist Big Data consultants an average $. Or share a custom link the reader, enticing them to read their job poster ensuring them took. 2020, companies pay Big Data Analytics, Hadoop and Java development manager... Resume by picking relevant responsibilities from the examples below and Then add your accomplishments consultants across &..., Hands-on experience with Data Science job Consultant List- United States 569 Data Scientist, Analytics Data! You should always start with the relevant work experience which will quickly draw the attention recruiter. From Siebel IT is a necessary evil always start with the average salary being $ 94,000 $ 5M.... On experience Application Consultant and more Data architect models, Mahout, etc the time read. Recipient of an MBA, Consultant, 02/2016 to Current Hortonworks – Santa Clara, CA resume Samples Big...