Big Data-hadoop Resume Samples and examples of curated bullet points for your resume to help you get an interview. Hadoop Administration and Java Development only, Provide operational support for the Garmin Hadoop clusters, Develop reports and provide data mining support for Garmin business units, Participate in the full lifecycle of development from conception, analysis, design, implementation, testing and deployment, and use Garmin and Third Party Developer APIs to support innovative features across Garmin devices, web, and mobile platforms, Use your skills to design, develop and perform continuous improvements to the current build and development process, Experience with automation of administrative tasks using scripting language (Shell/Bash/Python), Experience with general systems administration, Knowledge of the full stack (storage, networking, compute), Experience using config management systems (Puppet/Chef/Salt), Experience with management of complex data systems (RDBMS/ or other NoSQL data platforms), Current expereince with Java server-side development, We use Hadoop technolgies, including HBase, Storm, Kafka, Spark, and MapReduce to deliver personalized Insight about our cutomer's fitness and wellness. Virtual Private Cloud), Configuration version control (eg CVS tools such as GIT/TFS, Configuration automation / compliance (eg Chef), Hadoop development/automation skills (eg. Their resumes highlight certain responsibilities, such as working on internal projects, including preparing study materials for training batches and developing analysis reports on previous client projects for … Apply to Junior Software Engineer, Junior Data Scientist, Junior Business Intelligence Analyst and more! This includes the types of instruments held by a banking institution for its day to day operations, Experience supporting hosted services in a high-volume customer facing environment, Dev-ops skills in Java, Python, Ruby or UNIX shells, C, C++, Experience with Hadoop, Cloudera, Pig, Splunk or other big data frameworks, Experience with Puppet, Chef, or Ansible for configuration management, Experience with relational databases such SQL, DB2, HBase, Background building distributed, server-based infrastructure supporting a high volume of transactions in a mission critical environment, Excellent communication skills and ability to work closely with operations and development teams, Demonstrated ability to work on small, focused teams to complete critical milestones under pressure with tight deadlines, Two years with Hadoop - Hortonworks; Cluster tuning, planning & deployment; Data access control; Service management, health monitoring and execution; Software updates, Three years of Linux/Unix heavy usage and/or administration, DBA experience - SQL Database; Data manipulation, Java Developer Experience (intermediate level), Experience and comfort operating within an agile SCRUM methodology, One year experience working with the identification and adoption of new, emerging technologies, One year project management and project implementation experience, Network and system administration experience, preferably in large-scale data center environments, Responsible for the design, development, implementation and administration on the Hadoop ecosystem, Loading and processing from disparate data sets using appropriate technologies including but not limited to, Hive, Pig, MapReduce, HBase, Spark, Storm and Kafka, Perform analysis of vast data stores to uncover insights, Maintains and advances knowledge of Big Data technologies and concepts and advances overall team capabilities, B.S. Used spark streaming for the real time analysis of data coming constantly. Experience with sales process, sales teams, and customer facing positions is a plus, Knowledge of relational databases and non-relational databases: Hadoop experience is a premium, Broader technical knowledge of servers, storage and cloud, Work with database vendors to resolve database software bugs, Architect and develop ETL solutions across platforms, Understand application and system architecture, Troubleshoot OS Level event logs as well as database platform logging in resolving complex issues, Utilize multiple scripting languages such as PowerShell/Python/BASH shell scripts to administer and perform daily tasks, Handle intermediate level script development for automation, Good working experience of Microsoft Office suite, High degree of Motivation and adaptability, Influence skills to work with development teams whose short-term goals may differ, Responsible for implementation and support of the Enterprise Hadoop environment. See salaries, compare reviews, easily apply, and get hired. When writing your resume, be sure to reference the job description and highlight any skills, awards and … This position demands the best and the brightest software engineers who are passionate about Hadoop, Java and related technologies, and building large scale applications utilizing them! Working experience in PIG,HIVE,Map Reduce and Hadoop Distributed File Systems (HDFS) Hands on experience on major components of Hadoop Ecosystem like HDFS , HIVE , PIG, Oozie, Sqoop, Map Reduce and YARN. Experience with Maven (or Gradle or SBT) and Git preferred, Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence, Familiarity with configuration management tools (Ansible, Chef), Familiarity with server virtualization technologies (e.g. Hadoop Developer Job Description for Resume If you have worked before as a Hadoop developer or are presently working in that role and are now writing a resume for a new job, you will have to add the … Analyzes and translates business, data, functional, and user requirements and/or business rules into analytic and reporting requirements, data models and metadata deliverables by leading and guiding discussions internally with the project team and externally with business and technology partners, Analyzes requirements and create or contribute to functional designs, leveraging more advanced technical skills; Assist with design application prototypes, Constructs and executes complex SQL queries and review data profiling results to discover semantics, patterns and value domains of data under analysis, Performs complex data analysis utilizing multiple techniques to determine, document and communicate existing and potential future data relationships, profiles and quality levels; uncover anomalies and variances in data content from expected results, Assists with project initiation or planning for projects of moderate complexity. Will be ready to learn and explore new ideas, processes, methodologies and leading edge technologies. Identify risks and issues, Conceptual understanding of data structures, Orientation towards Disciplined development processes Strong Software Development Lifecycle management experience, Other preferred branches are EE, ECE. The low-stress way to find your next junior hadoop developer job opportunity is on SimplyHired. Working with data delivery teams to setup new Hadoop users. Functions as a senior level engineer on operational issues, engineers and manages policies and standards, Helps evangelize the big data ecosystem within the development community for the appropriate use of the technology stack in line with the overall data platform strategy. It requires strong CS fundamentals, system knowledge and Java system programming skills, The following skills/experience are required, At least 8 years of experience in IT industry, At least 4 years of experience in developing and/or using Hadoop and related products, Strong education in Computer Science, Databases, Algorithms, Operating Systems, Networking, etc, Strong knowledge of Systems/Applications Design & Architecture, Strong object-oriented programming and design experience in Java, Experience with processing large amounts of data, Experience in handling architectural and design considerations such as performance, scalability and security issues, Development work related to GLRI, which will include data sourcing, data tagging, reporting and the building out of data sets, as well as automated reconciliation and data governance processes, Application development to support new features, requests, fixes, etc, for the existing development queue and new projects as needed, Be able to read, understand and perform fixes to code in support of daily regulatory reports, Work on new business, both project related and course of business, Experience working within global teams across different locations, Experience working with large volumes of data within a data warehouse, Working knowledge of data warehouse technical concepts and designs, Working knowledge of technical concepts and designs for business intelligence & adhoc/query reporting, Java and UNIX/Linux background for integration of Hadoop and Jaspersoft reporting into other areas of BNY Mellon, Working knowledge of Microsoft SQL Server and SSIS stack, Advanced skills working with Microsoft Excel, Financial industry knowledge, especially as it relates to a balance sheet, is preferred. Having 2.5 years of experience in Oracle SQL&PLSQL and Core JAVA. (Job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and Map Reduce access for the new users, Point of contact for vendor escalation; be available for 24*7 On Call support, Participate in new data product or new technology evaluation; manage certification process, Evaluate and implement new initiatives on technology and process improvements, Interact with Security Engineering to design solutions, tools, testing and validation for controls, Candidate will have 3 to 4 year experience with Hadoop data stores/cluster administration and 5 to 8 years relational database experience preferable with Oracle/SQL Server DBA experience, Strong Hadoop cluster administration expertise; Understanding of internals, Excellent performance and tuning skills of large workload inside Hadoop cluster, Strong Partitioning knowledge ( data sharding concepts), Experience in upgrading Cloudera Hadoop distributions, Experience in performance tuning and troubleshooting - drill down approach with O/S, database and application - End to End Application connectivity, Familiarity with NoSQL data stores (MongoDB / Cassandra/HBase), Familiarity with Cloud Architecture (Public and Private clouds) – AWS , AZURE familiarity, Prior experience of administration of Oracle or any other relational database, Help Application and Operations team to troubleshoot the performance issues, Assist in data modeling, design & implementation based on recognized standards, Query and execution engine performance monitoring and tuning, Responsible for code (ETL/Ingestion, SQL/Data Engineering, and Data Science Model) migrations to production using bitbucket, git, Jenkins, and artifactory, Provide operational instructions for deployments, for example, Java, Spark, Sqoop, Storm, Setting up Linux users, groups, Kerberos principals and keys, Aligning with the Systems engineering team in maintaining hardware and software environments required for Hadoop, Software installation, configuration, patches and upgrades, Working with data delivery teams to setup Hadoop application development environments, Data modelling, Database backup and recovery, File system management, Disk space management and monitoring (Nagios, Splunk etc), Planning of Back-up, High Availability and Disaster Recovery Infrastructure, Diligently teaming with Infrastructure, Network, Database, Application and Business Intelligence teams to guarantee high data quality and availability, Collaborating with application teams to install operating system and Hadoop updates, patches and version upgrades, Qualification: Postgrad in one of the following fields with strong academic credentials, Document all modeling steps in a systematic way including modeling process, insights generated , presentations , model validation results and checklists built in the project, Prepare a one pager document that outlines and quantifies the business impact due to the DS project, Interacts with users and evaluates vendor products, Makes recommendations to purchase hardware and software, coordinates installation and provides backup recovery, May program in an administrative language, Experience operating Hadoop clusters, specifically Hive, Linux system administration best practices, Solid understanding of network services (DNS, LDAP), Experience with AWS services (VPC, EC2, Cloud formation), Provides senior level consulting in identifying and solving complex and highly critical issues. 280 junior hadoop developer jobs available. Operating systems: LINUX, Mac os and Windows. Is, if possible, certified on this level and Project Financials, KPI & Reporting, Should be experienced in Negotiation, Vendor Management, Risk Management, Continuous (Service) Improvement, Should have progression skills in Quality Management, Must have experience with RDBMS, Big Data -Hadoop Ecosystem HDP Platform -- Sqoop, Flume, Pig, Hive, Hbase and Spark, Must have experience with data modeling tools (ERWIN or ER Studio), Must have experience with Unix and Windows operating systems, Must have experience with ETL Tools (Informatica, SSIS, etc. Please apply without delay, Responsible for data Ingestion, data quality, development, production code management and testing/deployment strategy in BigData development (Hadoop), Acts as a lead in identification and troubleshooting processing issues impacting timely availability of data in the BigData or delivery of critical reporting within established SLAs. Development and enhancement of problem scenario reporting rules and associated knowledge, 3) Interface into other organizations (internal and external). VMware), networking concepts (VLANs, routing, firewalls, subnetting), logical volume management, NFS, SNMP, sftp, and SMTP, Provide automation on diverse data feeds into our lake, Check for PII or PCI data items and take needed actions to ensure compliance with standards, Industrialization and orchestration of the loads, Interface with third parties to setup secure feed connections, Ensure performance of the data sets stored in the lake, Perform performance analysis on a regular basis, Assist the Hadoop specialist with tuning activities (shredding & sharding), Take proactive actions to meet customer’s performance expectations, Effectively communicate with the rest of the Scrum team (Product Owner, Developer, QA, and Business Analysts), Provide update on activities as well as known impediment/issues, Written technical documentation authoring skills (user manuals, how to), Knowledge of the Cazena product or Cloudera distribution, RestFul APIs for provisioning data into a big data system, Experience working with sensitive data (PCI, PII) and how to secure them for data analytics usage, 3 years+ experience in industrialization of data feeds to an Hadoop cluster in a managed way, Multi-cultural experience on geographically distributed projects, Travel Industry related experience is a plus, Install and configure multiple RDBMS’s and components, Predictive Analytics for resource management, Works on projects with developmentand engineering teams, Perform patching and upgrades to all database platforms, Experience/Familiarity with multiple Hadoop components, Experience /Familiarity with multiple NoSQL engines, Experience with multiple RDBMS’s (MySQL, PostgreSQL, SQL Server), Experience with non-database open source technologies a plus, Responsible for Hadoop cluster availability, security and performance, Responsible for implementation and ongoing administration of Hadoop clusters, Collaborate with systems engineering teams to propose and deploy new hardware and software required for Hadoop and related environments, Troubleshoot capacity, performance bottlenecks and related details of cluster memory, CPU, OS, storage, and networks, Maintain and develop open source configuration management and deployment tools such as Puppet or Chef and Linux scripting, Work with data delivery teams to administer Hadoop users, Work with security, networks and other teams to monitor and implement secure practices and assure secure access to data, Detailed knowledge of Hadoop ecosystem from an administration perspective, ideally including Spark, Familiarity with open source configuration management and deployment tools such as Puppet or Chef and Linux scripting, Kerberos implementation and troubleshooting, A good knowledge of Python, Java is a plus. Provide direction to junior programmers Handle technical documentation, architecture diagram, data flow diagram, server configuration diagram creation ... Lead Big Data / Hadoop Application Developer Resume … Their resumes show certain responsibilities associated with the position, such as interacting with business users by conducting meetings with the clients during the requirements … ), Administering and Maintaining Cloudera Hadoop Clusters, Provision physical Linux systems, patch, and maintain them, Performance tuning of Hadoop clusters and Hadoop Map Reduce/Spark routines, Management and support of Hadoop Services including HDFS, Hive, Impala, and SPARK. PRINCIPLES ONLY HADOOP DEVELOPER - JUNIOR Recently Awarded Project, JTSi is the employerâ€¦Ø Develop data engineering and big data solutions in a multi-tiered data environment… This position will also work on the AWS, Azure and Teradata proprietary cloud, Assume a leadership role in selecting and configuring Teradata technology for field personnel, Provide technical support and answer complex technical questions, including input to RFPs, RFQs and RFIs, Participation in account planning sessions, Train field technical personnel on Teradata Hadoop and cloud technology, Liaise with development personnel to facilitate development and release activities, Validate proposed configurations for manufacturability, conformance to configuration guidelines, and acceptable performance, Coordinate with IT and other stakeholders to support process and system improvement, Adept at operating in the large enterprise Linux/Unix space, Able to assist sales team in translating customer requirements into database, Hadoop or Cloud solutions, Understand and analyze performance characteristics of various hardware and software configurations, and assist the sales teams in determining the best option for the customer, Apply knowledge and judgment in providing sales teams with validated customer configurations for submission to the Teradata Order System, and evaluate configurations for accuracy, completeness, and optimal performance, Identify and engage the correct technical resource within Teradata Labs to provide answers to questions asked by field personnel, Learn and independently use on-line tools to perform tasks, i.e., configuration tools, performance tools, data repositories, and the configuration and ordering tool, Work well with others and communicate effectively with team members, Teradata Labs personnel, field sales personnel, and customers, Understand when it is appropriate to inform and involve management regarding roadblocks to success or issue escalations, B.S. C# & .NET Certified NIIT. Junior Hadoop Dev / Ops Developer Resume Examples & Samples. Ability to maneuver cross-organizationally and demonstrate a high-level of professionalism. These areas include, Dev Ops–proficiency with RHEL systems and scripting languages such as, python and shell, Security - Core principles, Kerberos and Active Directory/LDAP, Public Key Infrastructure, Experience with administration of Hadoop Platform (HDFS, YARN, Sqoop, Flume, Hive, HBase, Spark, Oozie), Cloudera Distribution is preferred, Minimum 2+ years of applicable platform engineering or related Hadoop experience, Automation with tools such as Ansible, SSH, and Shell, Experience working in a flexible Agile development environment, Problem analysis and solving in multiple layers such as hardware, Linux, networking and Hadoop, Java - Some experience with design, development, and use of classes and objects, etc, Self-motivated, delivery focused with the ability to work independently where required, Able to own and drive solution understanding the real issues behind Business Requirements, Able to use tools of an agile ecosystem like Jira and GIT, Able to successfully interface with various stakeholders, Committed and have a strong sense of ownership, Supports the Database Administration functions of the system. Hadoop Developer Resume Template & Example for Fresher, Experienced, Check Complete Guide to Create Resume for Hadoop executive and Experienced Developer. degree in Computer Science, Information Technology, or equivalent experience, 5+ years Business Intelligence/Data Warehouse experience, Minimum 2-3 years' experience developing and managing Hadoop environments, and proven expertise in multiple Big Data technologies, Strong understanding of algorithms, data structures and performance optimization techniques, Ability to understand business requirements and leverage technology to provide solutions, Prepare presentations and reports on findings, Provide support in the development of solutions and preparation of RFP responses, Hands-on work using, Excel, PowerPoint etc. Ability to work in a team of diverse skill sets, Ability to comprehend customer requests & provide the correct solution, Strong analytical mind to help solve complicated problems, Desire to resolve issues and dive into potential issues, Good team player, interested in sharing knowledge with other team members and shows interest in learning new technologies and products, Ability to think out of box and provide innovative solutions, Desire to want to resolve issues and dive into potential issues, Great communication skills to discuss requests with customers, A broad knowledge of Hadoop & how to leverage the data with multiple applications, Bachelor’s Degree and 4+ years of experience; OR, High School equivalent and 8+ years of experience, A current Security + CE certification is required, Experience managing Hadoop Clusters, including providing monitoring and administration support, Minimum 2 years’ experience with Linux System Administration, Must possess strong interpersonal, communication, and writing skills to carry out and understand assignments, or convey and/or exchange routine information with other contractor and government agencies, Must be able to work with minimal supervision in high intensity environment and accommodate a flexible work schedule, Utilize open source technologies to create fault-tolerant, elastic and secure high performance data pipelines, Work directly with software developers to simplify processes, enhance services and automate application delivery, BS Degree in Computer Science/Engineering required, Experience with configuration management tools, deployment pipelines, and orchestration services (Jenkins), Familiar with Hadoop security knowledge and permissions schemes, Reporting to the Program manager on project/task progress as needed. Have a “hacker” mentality toward building solutions and problem-solving. Communication may include direct department management as well downstream/upstream application contacts and business partners, Ensures comprehensive knowledge transition from development teams on new or modified applications moving to ongoing production support, Seeks improvement opportunities in design, solution implementation approaches in partnership with development team for ensuring the performance and health of the BigData platform, Ensures timely and accurate escalation of issues to management, Learn about all the technologies involved in the project like java, shell scripting, Linux administration, Hadoop, databases, security and monitoring, Ensure that every cluster and services, are always available without performance issues, Attend to all the scheduled meetings, having a high participation, Ensure that procedures and infrastructure details are properly documented and shared amongst the team, Prioritize and give proper solutions to users, Completed College Degree IT Computer Science, 1 year of Hadoop administrator experience or Linux Server Administrator experience minimum, Advanced Linux system administration, regardless of the distribution, Have knowledge in the next technologies: Java, shell scripting, Linux administration, networking, distributed systems, Hadoop, automation, Requires Bachelor’s degree in Computer Science or Information Systems, 5+ years of testing and product quality experience; or any combination of education and experience, which would provide an equivalent background, Hadoop Data Validation (1-2 years experience), 2 years experience in each of the following: ETL Test execution and validation; Back end test writing and executing SQL queries; Test execution/validations using Informatica; GUI text execution and validation, Agile testers with primary skills in automating test cases, test-driven development and manual testing are required, 1 yr experience as a: Tester in Agile Team; working in JIRA and Confluence, Quality Certification, such as CSTE, CSQA, CMST, CSQE preferred, Not sure if you are ready to make a change? Hortonworks Certified Hadoop Developer Hortonworks, inc. Ruby on Rails Greens Technology. © 2020 Hire IT People, Inc. Hadoop / Python Developer Resume. May 2016 to Present. "), Providing expertise in provisioning physical systems for use in Hadoop, Installing and Configuring Systems for use with Cloudera distribution of Hadoop (consideration given to other variants of Hadoop such as Apache, MapR, Spark, Hive, Impala, Kafka, Flume, etc. Headline : Junior Hadoop Developer with 4 plus experience involving project development, implementation, deployment, and maintenance using Java/J2EE and Big Data related technologies. Responsible for implementation and ongoing administration of Hadoop infrastructure. Finance/accounting Analyst ... As a senior developer you will have the opportunity to mentor more junior associates and help grow our team. This includes developer best practices and movement/management of data cross the ecosystem, Helps lead database strategic planning and consulting on the big data ecosystem platform selection, version implementation, software product recommendation, and usage of enhanced functionality, Keeps abreast of latest products and technology and their successful deployment in similar corporate settings, Assists the larger data platform team in providing problem identification and complex resolution support through analysis and research, Participates in the design, implementation, and ongoing support for data platform environments, associated network and system configurations as requested by related support groups, Contribute to evolving design, architecture, and standards for building and delivering unique services and solutions, Implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions, Leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance, Support and implement DevOps methodology; and, Develop and automate robust unit and functional test cases, Technology experience required; Kafka, RabbitMQ or other Enterprise messaging solution, Other technologies good to have; Storm, Spark, Flink, Flume, Sqoop, NIFI or Horton DataFlow, In depth experience with HortonWorks or one of the major Hadoop distributions, Java scripting and application support experience strongly desired, Working experience in at least one automation scripting language such as Ansible, Puppet/Chef, etc, Working experience in test case automation tool, Experience with virtualization technologies required, You are driven to solve difficult problems with scalable, elegant, and maintainable solutions, Expert troubleshooter – unwilling to let a problem defeat you; unrelenting, persistent, confident, A penchant for thinking outside the box to solve complex and interesting problems, Extensive knowledge of existing industry standards, technologies, and infrastructure operations; and, Manage stressful situations with calm, courtesy, and confidence, Responsible for defining Big Data Architecture and developing Roadmap for Hortonworks HDP 2.5 platform, Proven architecture and infrastructure design experience in big data batch and real-time technologies like Hadoop, Hive, Pig, HBase, Map Reduce, SPARK and STORM, Kafka, Proven architecture and infrastructure design experience in NoSQL including Cassandra, HBASE, MongoDB, Prior experience leading software selection, Ability to create both logical architecture documentation and physical network and server documentation, Coordination of initial Big Data platforms implementation, Overall release management /upgrade coordination of Big Data platform, Good to have Hadoop Administration hands-on skills, Good to have understanding of security aspects related to Kerborised Cluster, Appreciation of challenges involved in serialization, data modelling and schema migration, A passion for Big Data technologies and Data in general, Understanding of derivatives (Swaps, Options, Forwards). 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