Ability to maneuver cross-organizationally and demonstrate a high-level of professionalism. 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 â¦ 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. 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. 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Domain : Aviation TTeeaamm SSiizzee :: 160 TReoalem Size :: 1S0enior Developer â¦ Assist senior analyst in completing analysis, 5) Mentoring and development of resources as needed, BS in Computer Science or other technical discipline, Understanding of Teradata product knowledge, Experience in Hadoop open source framework and architecture (HDFS, YARN, MapReduce, etc), Experience with common Hadoop components (i.e., MR, Ambari, Zookeeper, HBase, Pig, Hive), Working experience of SUSE LINUX operating systems, Association with a development environment, Understand and participate in the development of product backlog and road map, Develop and communicate design patterns to support large scale data processing and transformation using modern ETL techniques across large number of diverse and concurrent data feeds, Code, test, modify, debug, document, and implement code in support of data Ingestion / ETL techniques in Hadoop environment leveraging native Java and rich set of Cloudera Hadoop APIs, Deep and strong Perl and bash scripting skills to automate and orchestrate data processing components to automate the execution of code in Hadoop cluster environment, Help develop automated test cases/script and leverage test harness for unit testing, Participate in unit testing and integration testing, Help develop code migration strategies from one environment to the other, Participate in design reviews / code reviews and ensure that all solutions are aligned to pre-defined architectural specifications; identify/troubleshoot application code-related issues; and review and provide feedback to the final user documentation, Assume ownership and accountability for deliverables during sprints, Provide coaching and mentoring to less experienced member of the team, Bachelor degree in Computer Science or Equivalent, Knowledge and hands on expertise with Hadoop, SPARK, etc, Full awareness of full development lifecycle implementation, Must have 6 - 10 years of experience in the design and delivery of and Big Data solutions and building out of its components, Require hands on working knowledge of - MapReduce, Spark, Clearly understand working of HDFS at a filesystem level and AVRO as data serialization, Proficient with at least one code repositories and associated practices for GIT, SVN, MAVEN etc, Must 4 years of execution with Aglie and SCRUM, Ability to communicate at all levels of management and with customers. Present the most important skills in your resume, there's a list of typical etl developer skills: Good interpersonal skills and good customer service skills. Tableau 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. ), Bachelor’s or Master’sDegree in Computer Science or Engineering or related experience required, 6+ years of EDW development experience including 2+ years in Big data & Cloud space (i.e. Will be ready to learn and explore new ideas, processes, methodologies and leading edge technologies. Objective : Extensive experience as a Web/Application Developer and coding with analytical programming using Python, Django, Flask and C++, Big Data/Hadoop technology. Ability to deliver succinct and concise presentations, 4) Product / problem analysis. Operating systems: LINUX, Mac os and Windows. Concepts around pricing, risk management and modelling of derivatives, Experience in stream processing (Kafka), serialization (Avro) and BigData (Hadoop) platforms, Experience with object oriented programming using Python, Platform provisioning strategies and tools. Collecting the data when user uses â¦ See salaries, compare reviews, easily apply, and get hired. 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. May 2016 to Present. Having 2.5 years of experience in Oracle SQL&PLSQL and Core JAVA. ), 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. Gather data and prepare templates as required for data analysis. Tableau Developer Resume Sample. Java Programmer with 4 years of Extensive programming experience in developing â¦ Writing a great Hadoop Developer resume is an important step in your job search journey. 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. 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. The low-stress way to find your next junior hadoop developer job opportunity is on SimplyHired. Candidates with passion for coding and systems development from other disciplines also can apply, Work experience in a product company is an added advantage, Build and support scalable and durable data solutions that can enable self-service advanced analytics atHomeAway using both traditional (SQL server) and modern DW technologies (Hadoop,Spark, Cloud, NoSQL etc.) If you are working in a Hadoop environment you are most likely working on or â¦ Development and enhancement of problem scenario reporting rules and associated knowledge, 3) Interface into other organizations (internal and external). Lead and/or participate on teams focused on creating technical bulletins, procedures and support processes (Change Templates, FRO bulletins, Service bulletins, Support tools. Experience on Hadoop â¦ Hadoop Developer Resume Template & Example for Fresher, Experienced, Check Complete Guide to Create Resume for Hadoop executive and Experienced Developer. 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. Hadoop Developer with 4+ years of working experience in designing and implementing complete end-to-end Hadoop â¦ These are some examples of job descriptions we have handpicked from real Tableau Developer resumes for your reference. Hadoop Distributions: Cloudera(CDH3) and Map Reduce. Understands, applies, teaches others and drive improvements in the use of corporate metadata development tools and processes, Executes change control process to manage changes to base lined deliverables and scope for projects of moderate to high complexity, Develops and keeps current an approach to data management across multiple business AoRs, Applies knowledge of tools and processes to drive data management for a business AoR, Creates complex technical requirements through analyzing business and functional requirements, Education: College degree or equivalent experience; Post secondary degree in management / technology or related field or a combination of related experience and education a plus; 5+ years working in insurance, project management, and/or technology preferred, Experienced in writing technical requirements, Hands-on SQL and DB querying exposure preferred, Extensive experience working with project team following an agile scrum a must; exposure / experience to Waterfall software development lifecycle a plus, Advanced insurance industry / business knowledge, Proven ability to be flexible and work hard, both independently and in a team environment with changing priorities, Willingness to work outside of normal business hours, Excellent English oral / written communication skills, Data storage technologies (HDFS, S3, Swift), Cloud infrastructures and virtualization technology, A solid foundation in computer science with strong competencies in data structure, algorithms, and software design, Expert skills in one ore more of the following languages: C++, Java, Scala, Python, R, Lua, Golang, A deep understanding of one or more of the following areas: Hadoop, Spark, HDFS, Hive, Yarn, Flume, Storm, Kafka, ActiveMQ, Sqoop, MapReduce, Experience with the state of the art development tools (Git, Gerrit, Bugzilla, CMake, …) and the Apache Hadoop eco system, Experience with NoSQL Databases and Technologies like Cassandra, MongoDB, Graph Databases, Knowledge in design patterns and object oriented programming, Contributions to OpenSource projects in the Hadoop eco system (especially Spark) are a big plus, Bachelor’s degree or higher in Computer Science or a related field, Good understanding of distributed computing and big data architectures, Experience (1-2 years) in Unix/Linux (RHEL) administration and shell scripting, Proficient in at least one programming language like Python, Go, Java etc, Experience working with public clouds like Azure, AWS etc, DevOps: Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system. Created complex â¦ Provide mentoring to Level 2 production support team, Identifies and recommends technical improvements in production application solutions or operational processes in support of BigData platform and information delivery assets (ie, data quality, performance, supporting Data scientists etc. Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand, Experience in working with a Big Data implementation in production environment, Lead and assist with the technical design/architecture and implementation of the Big data cluster in various environments, Able to guide/mentor development team for example to create custom common utilities/libraries that can be reused in multiple big data development efforts, Provide infrastructure system expertise, requirements and assistance to Systems and Database Administrators, other System Architects and application development teams, Work with line of business (LOB) personnel, external vendors, and internal Data Services team to develop system specifications in compliance with corporate standards for architecture adherence and performance guidelines, Provide technical resources to assist in the design, testing and implementation of software code and infrastructure to support data infrastructure and governance activities, Assist in both external and internal audit questionnaires and application assessments, Assess current technical architecture and estimate system capacity to meet near- and long-term processing requirements, Evaluate, select, test, and optimize hardware and software products, Discuss with end-users, clients and senior management to define infrastructure requirements for complex systems and infrastructure development, Design and oversee development and implementation of end-to-end integration of infrastructure solutions, Document the Bank's existing solution architecture and technology portfolio and make recommendations for improvements and/or alternatives, Develop, document and communicate needs for investing in infrastructure evolution, including analysis of cost reduction opportunities, Liaise with Enterprise Architects to conduct research on emerging technologies, and recommend technologies that will increase operational efficiency, infrastructure flexibility and operational stability, Develop, document, communicate and enforce a policy for standardizing systems and software, as necessary, Instruct, direct and mentor other members of the team, Bachelor's degree in a technical or business-related field, or equivalent education and related training, Twelve years of experience in data warehousing architectural approaches, Exposure to and strong working knowledge of distributed systems involving internet protocols, Excellent understanding of client-service models and customer orientation in service delivery, Ability to derive technical specifications from business requirements and express complex technical concepts in terms that are understandable to multi-disciplinary teams, in verbal as well as in written form, Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area, Involves designing, capacity planning, cluster set up, monitoring, structure planning, scaling and administration of Hadoop components ((YARN, MapReduce, HDFS, HBase, Zookeeper, Storm, Kafka, Spark, Pig and Hive), Accountable for performance tuning and resource management of Hadoop clusters and MapReduce routines, Strong Experience with LINUX based systems & scripting (either of Shell, Perl or Python), Experience with configuration management tools like puppet, chef or salt, Good knowledge of directory services like LDAP & ADS and Monitoring tools like Nagios or Icinga2, Strong troubleshooting skills of Hive, Pig, Hbase and JAVA Mapreduce codes/jobs, Creates / comprehends intermediate-to complex logical (conceptual, relational, subject-level and dimensional) data models and other metadata deliverables at varying levels of detail and functionality across multiple business areas of responsibility, Performs / comprehend Analysis and volumetric parameters that dictate data profiling activity preferred, Maintains understanding of software industry, particularly with respect to data warehousing and analytics, This is not a Hadoop Developer role. 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. Big Data Ecosystem: Hadoop,MapReduce,YARN,pig,Hive,Sqoop,Impala,Oozie,Spark and Kafka. Used spark streaming for the real time analysis of data coming constantly. Hadoop Developer Resume. Tools and Technologies : Hadoop HDFS, Map Reduce 1 Assignment Details Period : September 2012 â July 2013 5. 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. Project: Enterprise Credit Risk Evaluation System. 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. Validate Knowledge content for accuracy, relevancy, and currency. When writing your resume, be sure to reference the job description and highlight any skills, awards and â¦ Their resumes show certain responsibilities associated with the position, such as interacting with business users by conducting meetings with the clients during the requirements â¦ Senior ETL Developer/Hadoop Developer Major Insurance Company. Power BI Resume Samples - power bi developer roles and responsibilities - power bi developer resume sample - power bi resumes - power bi developer responsibilities - power bi desktop resume - power bi admin resume - power bi resume â¦ Two yearsâ experience installing, configuring, testing Hadoop ecosystem â¦ 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. 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 â¦ TOOLS YOU USED. 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 environmentâ¦ 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. A “ hacker ” mentality toward building solutions and problem-solving, methodologies and edge. 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