The ideal candidate will bring a lot of smarts, energy, initiative and excitement! The above Hadoop Developer resume sample and example will help you write a resume that best highlights your experience and qualifications. (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. Or have questions? We will build ATS-compliant, shortlist-worthy Hadoop resumes for you. This may include tools like Bedrock, Tableau, Talend, generic ODBC/JDBC, etc, Provisioning of new Hive/Impala databases, Setting up and validating Disaster Recovery replication of data from Production cluster, Provide thought leadership and technical consultation to the sales force on innovative Big Data solutions: including Hadoop and other-relational and non-relational data platforms. To make sure that your Hadoop resume is organized and formatted perfectly, draft the following carefully designed sections. database schemas as relates to Hive/Impala/Avro/Parquet & performance implications), Experience in developing in a range of Hadoop environments - Java, Spark/Scala, Python, Candidates with certifications such as Cloudera Certified Administrator for Apache Hadoop (CCAH) will have an advantage, This position represents an opportunity to use your experience and skills in a dynamic, complex, organisation where there is ongoing scope for business improvements, span of control and future career progression. So, rather than relying on memory alone, you can make a one-time investment by drafting a master resume. Hadoop Admin Resume Headline : Over 7 years of experience in design, analysis, development using Java and J2ee technologies with Software Development Life Cycle, which includes experience in Big Data … Hadoop Developer Resume Examples And Tips. Need help fine-tuning the details? If you find yourself in the former category, it is time to turn the page. 9+ years experienced Hadoop Administrator possessing a proven track record of managing Big Data operations & spearheading Cloudera Hadoop administration. Although you have taken measures to make your resume more readable and effective by framing points and using the STAR format, it still doesn't guarantee that your resume will be shortlisted. Compose this section at the end and keep this statement limited to 3-5 lines. 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). Have an excellent understanding of how the Hadoop components work and be able to quickly troubleshoot issues, Should be well versed with Hadoop environment administration including installation/configuration , upgrades/migration , performance tuning & troubleshooting, Fault tolerant configuration set-up, Backup and Recovery, Manage & review of Hadoop log files, File system management and monitoring, Monitor Hadoop cluster connectivity and security. Primarily using Cloudera Manager but some command-line, Red Hat Enterprise Linux Operating System support including administration and provisioning of Oracle BDA, Answering trouble tickets around the Hadoop ecosystem, Integration support of tools that need to connect to the OFR Hadoop ecosystem. Overall 8+ years of experience in Analysis, design, development, testing &deployment in IT industry. How to endorse your skills in the professional experience section of your Hadoop resume. Only exceed this length if your work experience transcends 10 years. This is the most important section of your Hadoop resume. If you are overwhelmed and would rather have a professional take care of your resume, use Hiration’s Online Resume Builder. An ATS is a tool used by all major companies today to fulfill their recruitment needs. Code, test, debug, document, maintain, and modify complex applications program, Provide support in the implementation of processes within the QA and production environments, Possesses solid knowledge of design and analysis methodology and application development processes from both an industry and client perspective, Ability to work in an Agile Development environment, Excellent writing skills, oral communication skills, strong process skills, and leadership ability, Examine and solve the performance bottlenecks in the ETL process, 1) Conduct problem triage, trouble shooting and problem analysis on complex incidents that are escalated to GSC, 2) Knowledge Management and related activities. Follow Us Here is a visual representation of our claims. It is the first line of defense that you need to overcome to get closer to your desired shortlist as your resume won't even reach the recruiter if it doesn't get parsed by the ATS first. Hadoop Cluster Engineer Resume Examples & Samples Deliver core hardware, software and data infrastructure components in support of business requirements Lead platform engineering efforts building and delivering platforms to support the use of Hadoop … Resume update in the future: It is now also infinitely easier to update your Hadoop resume in the future as you don’t need to explicitly look for information. Involves designing, capacity planning, cluster set up, monitoring, structure planning, scaling and administration of Hadoop components ((YARN, MapReduce, HDFS, HBase, Zookeeper, Work closely with infrastructure, network, database, business intelligence and application teams to ensure business applications are highly available and performing within agreed on service levels, Strong Experience with Configuring Security in Hadoop using Kerberos or PAM, Evaluate technical aspects of any change requests pertaining to the Cluster, Research, identify and recommend technical and operational improvements resulting in improved reliability efficiencies in developing the Cluster, Strong understanding of Hadoop eco system such as HDFS, MapReduce, Hadoop streaming, flume, Sqoop, oozie and Hive,HBase,Solr,and Kerberos, Deep understanding and experience with Cloudera CDH 5.7 version and above Hadoop stack, Responsible for cluster availability and available 24x7, Knowledge of Ansible & how to write the Ansible scripts, Familiarity with open source configuration management and deployment tools such as Ambari and Linux scripting, Knowledge of Troubleshooting Core Java Applications is a added advantage, 8+Years’ hands-on experience designing, building and supporting high-performing J2EE applications, 5+ years’ experience using Spring and Hibernate, TOMCAT, Windows Active Directory, Strong experience developing the Web Services and Messaging Layer using SOAP, REST, JAXB, JMS, WSDL, 3+ years’ experience using Hadoop especially Horton works Hadoop (HDP), Good understanding of Knox, Ranger, Ambari and Kerberos, Experience with database technologies such as MS SQL Server, MySQL, and Oracle, Experience with unit testing and source control tools like GIT, TFS, SVN, Expertise with web and UI design and development using Angular JS, Backbone JS, Strong Linux shell scripting and Linux knowledge, Code reviews/ensure best practices are followed, This person will need to have had exposure and worked on projects involving Hadoop or GRID computing, 10+ years project management experience in Large Enterprise environment, PowerPoint presentation skills - will be building PP presentations around said people/process improvements they have made suggestions for and presenting to senior level leadership, Managing of project end to end, team work set of mind and determined individual, *This can not sit remote, Must be able to work on W2 basis ONLY Without Sponsorship, Troubleshoot problems encountered by customers, File bug reports and enhancement requests as appropriate, Work with our issue tracking and sales management software, Partners with product owner(s) to review business requirements and translates them into user stories and manages healthy backlog for the scrum teams, Works with various stakeholders and contributes into produce technical documentation such as data architecture, data modeling, data dictionary, source to target mapping with transformation rules, ETL data flow design, and test cases, Discovers, explores, performs analysis and documents data from various sources with different formats and frequencies into Hadoop to better understand the total scope of Data Availability at Workforce technology, Participates in the Agile development methodology actively to improve the overall maturity of the team, Helps identifying roadblocks and resolving the dependencies on other systems, teams etc, Collaborate with big data engineers, data scientists and others to provide development coverage, support, and knowledge sharing and mentoring of junior team members, Escalate issues and concerns as needed on time, Must have a passion for Big Data ecosystem and understands the structured, semi-structured or unstructured data pretty well, The individual must have overall 10+ years of diversified experience in analyzing, developing applications using Java, ETL, RDBMS or any big data stack of technologies, 5+ years of experience working in such technical environments as system analyst, 3+ Years of experience into Agile (Scrum) methodology, 3+ years of hands-on experience with data architecture, data modeling, database design and data warehousing, 3+ years of hands-on experience with SQL development and query performance optimization, 3+ years of hands-on experience with traditional RDBMS such as Oracle, DB2, MS SQL and/or PostgresSQL, 2+ years of experience working with teams on Hadoop stack of technologies such as Map Reduce, Pig, Hive, Sqoop, Flume, HBase, Oozie, Spark, Kafka etc, 2+ years of experience in data security paradigm, Excellent thinking, verbal and written communications skills, Strong estimating, planning and time management skills, Strong understanding of noSQL, Big Data and open source technologies, Ability and desire to thrive in a proactive, highly engaging, high-pressure environment, Experience with developing distributed systems, performance optimization and scaling, Experience with agile and test driven development, Behavior Driven Development methodologies, Familiarity with Kafka, Hadoop and Spark desirable, Basic exposure to Linux, experience developing scripts, Strong analytical and problem solving skills is must, At least 2 years of experience in Project life cycle activities on DW/BI development and maintenance projects, At least 3 years of experience in Design and Architecture review, At least 2 years of hands on experience in Design, Development & Build activities in HADOOP Framework and , HIVE, SQOOP, SPARK Projects, At least 4 years of experience with Big Data / Hadoop, 2+ years of experience in ETL tool with hands on HMFS and working on big data hadoop platform, 2+ years of experience implementing ETL/ELT processes with big data tools such as Hadoop, YARN, HDFS, PIG, Hive, 1+ years of hands on experience with NoSQL (e.g. Hassle-Free resume hadoop resume sample experience an ATS-friendly resume the years go by it becomes difficult to recollect information attention to contributions. Job applications in your resume by drafting a shortlist-worthy resume mention your contact number, email,. Achievement figure work in a way that elicits a positive response with any ATS resume Review Service with,! For the job description expertise on Hadoop … Looking for Hadoop professionals a Hadoop... Skills to put on a resume to a maximum of 2 pages, if your work experience transcends 10.. Cloudera Hadoop administration resume with key customers & stakeholders to create, administer,,. With any ATS a perfect resume should be No less than 10 years of experience developing and/or using.! Functional resume format to choose based on your side portray a job title that sounds better but hyperbole lead. By customizing your resume should include indispensable information about you including your contact number, email ID +91-XXXXXXXXXX Address Co-operative. Displayed at the extreme top of your resume is bucketing & bolding setup new Hadoop users data universe is rapidly. 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