Role Hadoop Developer/Admin . Languages. 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. 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. Having 2.5 years of experience in Oracle SQL&PLSQL and Core JAVA. | Cookie policy, One year of experience in the IT industry with the, Experience on Hadoop environment includes, In depth knowledge of Hadoop Architecture and its various componets such as, Job workflow scheduling and monitoring using tools like. Purveyor of competitive intelligence and holistic, timely analyses of Big Data made possible by the successful installation, configuration and administration of Hadoop ecosystem components and architecture. Virtual Private Cloud), Configuration version control (eg CVS tools such as GIT/TFS, Configuration automation / compliance (eg Chef), Hadoop development/automation skills (eg. 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. building data pipelines in Hadoop, AWS), working with Petabytes of data, Development experience using Spark, Scala, Hive, S3, Kafka streams and APIs, Experience with Clickstream data is highly desirable, Experience with of all aspects of data systems (both Big data and traditional) including database design, ETL/ELT, aggregation strategy, performance optimization, Experience in eCommerce or Internet industry preferred, HDFS support and maintenance. (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. Provide direction to junior programmers Handle technical documentation, architecture diagram, data flow diagram, server configuration diagram creation ... Lead Big Data / Hadoop Application Developer Resume ⦠in Computer Science or related fields, Field technical experience in the large enterprise segment in the Linux/Unix space. Create and maintain Technical Alerts and other related technical artifacts. Apply to Junior Software Engineer, Junior Data Scientist, Junior Business Intelligence Analyst and more! Hadoop Developer with 3 years of working experience on designing and implementing complete end-to-end Hadoop Infrastructure using MapReduce, PIG, HIVE, Sqoop, Oozie, Flume, Spark, HBase, and zookeeper. We work in a fast-paced, agile environment where there are always new features to innovate and implement, Helping design and/or implement shared service(s) for Big Data technologies like Hadoop and/or other NoSQL technologies, Performing technical analysis to present pros and cons of various solutions to problems, Because Big Data involves many disciplines the candidate will need to be able to work with the full platform stack while providing expertise in at least a subset of areas. hadoop developer resume patient account rep supervisor resume Professional Junior Ruby Rails Developer Resume Resume Resume Simple 12 React Js Resume Ideas Printable Free Download Essay Writing Services Legal Edible Garden Project Emma Model Engineer Research Resume Samples Sample, Big Data Hadoop Testing Resume Resume Resume Sample Simple Big Data Hadoop Fresher Resume Resume Resume ⦠Hire Now PROFESSIONAL SUMMARY: One year of experience in the IT industry with the Hadoop ecosystem and good understanding with the Big Data technologies. Hadoop Developer Resume. Scale out the Big Data platform in a multi-cluster environment Support the implementation of a manageable and scalable security ⦠Excellent ⦠Designs and implements modifications or enhancements to forms, menus, and reports, Implements processes for data management including data standardization and cleansing initiatives as part of the overall design, development, fielding, and sustainment of a system, Executes advanced database concepts, practices and procedures, Analyze, define and document requirements for data, workflow, logical processes, hardware and operating system environment, interface with other systems, internal and external checks, controls, and outputs, Design, develop and maintain ELT specific code, Design reusable components, user defined functions, Perform complex applications programming activities. Exposure to automation scripts, performance improvement & fine-tuning services / flows, Resolve all incidents, service requests, and WOWs within SLA targets, During crisis conditions, willing to act in the role of problem facilitator to drive cross functional efforts of various teams toward issue resolution, 100% compliant to all the procedures and processes, Ensure proper handoffs of issues during shift change, Hadoop skills like Ambari, Ranger, Kafka, Knox, Spark, HBase, Hive, Pig etc, Familiarity with open source configuration management and Linux scripting, Knowledge of Troubleshooting Python, Core Java and Map Reduce Applications, Working knowledge of setting up and running Hadoop clusters, Knowledge on how to create and debug Hadoop jobs, Comfortable doing feasibility analysis for any Hadoop UseCase, Able to design and validate solution architecture as per the Enterprise Architecture of the Organization, Excellent Development knowledge of Hadoop Tools - Ambari, Ranger, Kafka, HBase, Hive, Pig, Spark, Map Reduce, Excellent knowledge on security concepts in Hadoop e.g. Gather data and prepare templates as required for data analysis. 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. Used spark streaming for the real time analysis of data coming constantly. , Strong interpersonal relationship and communication skills, Ability to multi-task /change focus quickly, The big data universe is expanding rapidly. Java, shell scripting, scala, python, pig), DBA skills (eg. ), Focuses on the overall stability and availability of the BigData platform and the associated interfaces and transport protocols, Researches, manages and coordinates resolution of complex issues through root cause analysis as appropriate, Establishes and maintains productive relationships with technical leads of key operational sources systems providing data to BigData plaform, Establishes and maintains productive relationships with technical leads of key infrastructure support areas, such as system/Infra engineers, Ensure adherence to established problem / incident management, change management and other internal IT processes, Responsible for communication related to any day to day issues and problem resolutions. 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. Operating systems: LINUX, Mac os and Windows. 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. 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