Hadoop Distributions: Cloudera(CDH3) and Map Reduce. Role Hadoop Developer/Admin . Prior work experience in the technology engineering and development is plus, 5+ years of advanced Java/Python Development experience (spring boot/python, server-side components preferred), 2+ years of Hadoop ecosystem (HDFS, Hbase, Spark, Zookeeper, Impala, Flume, Parquet, Avro) experience for high volume based platforms and scalable distributed systems, Experience working with data model, frameworks and open source software, Restful API design and development, and software design patterns, Experience with Agile/Scrum methodologies, FDD (Feature data driven), TDD (Test Driven Development), Elastic search (ELK), Automation of SRE for Hadoop technologies, Cloudera, Kerberos, Encryption, Performance tuning, and CI/CD (Continuous integration & deployment), Capable of full lifecycle development: user requirements, user stories, development with a team and individually, testing and implementation, Knowledgeable in technology infrastructure stacks a plus; including: Windows and Linux Operating systems, Network (TCP/IP), Storage, Virtualization, DNS/DHCP, Active Directory/LDAP, cloud, Source control/Git, ALM tools (Confluence, Jira), API (Swagger, Gateway), Automation (Ansible/Puppet), Production Implementation Experience in projects with considerable data size (in Petabytes PB) and complexity, Strong communication and written communications skills with the ability to be highly effective with both technical and business partners. Their resumes show certain responsibilities associated with the position, such as interacting with business users by conducting meetings with the clients during the requirements ⦠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. Apply to Junior Software Engineer, Junior Data Scientist, Junior Business Intelligence Analyst and more! 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. Writing a great Hadoop Developer resume is an important step in your job search journey. 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.) hadoop developer Worked as a Hadoop developer for reliance Jio Media apps like Jio TV, Jio Music,Jio Video On Demand, Jio News and Jio Magazines. Lead and/or participate on teams focused on creating technical bulletins, procedures and support processes (Change Templates, FRO bulletins, Service bulletins, Support tools. 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. 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. Create Defect tracking tickets. Installed and configured Hadoop MapReduce HDFS Developed multiple MapReduce jobs in java for data cleaning and preprocessing. Infrastructure as Code (Puppet / Ansible / Chef / Salt), Data security and privacy (privacy-preserving data mining, data security, data encryption), Act as focal point in determining and making the case for applications to move into the Big data platform, Hands on experience leading large-scale global data warehousing and analytics projects, Ability to communicate objectives, plans, status and results clearly, focusing on critical few key points, Participate in installation, configuration, and troubleshooting of Hadoop platform including hardware, and software, Plan, test and execute upgrades involving Hadoop components; Assure Hadoop platform stability and security, Help design, document, and implement administrative procedures, security model, backup, and failover/recovery operations for Hadoop platform, Act as a point of contact with our vendors; oversee vendor activities related to support agreements, Research, analyze, and evaluate software products for use in the Hadoop platform, Provide IT and business partners consultation on using the Hadoop platform effectively, Build, leverage, and maintain effective relationships across technical and business community, Participates and evaluates systems specifications regarding customer requirements, transforming business specifications into cost-effective, technically correct database solutions, Prioritizes work and assists in managing projects within established budget objectives and customer priorities, Supports a distinct business unit or several smaller functions, Responsibilities are assigned with some latitude for setting priorities and decision-making using established policies and procedures, Results are reviewed with next level manager for clarification and direction before proceeding, 3 to 5 years of Hadoop administration experience, preferably using Cloudera, 3+ years of experience on Linux, preferably RedHat/SUSE, 1+ years of experience creating map reduce jobs and ETL jobs in Hadoop, preferably using Cloudera, Experience sizing and scaling clusters, adding and removing nodes, provisioning resources for jobs, job maintenance and scheduling, Familiarity with Tableau, SAP HANA or SAP BusinessObjects, Proven experience as a Hadoop Developer/Analyst in Business Intelligence and Data management production support space is needed, Strong communication, technology awareness and capability to interact work with senior technology leaders is a must, Strong knowledge and working experience in Linux , Java , Hive, Working knowledge in enterprise Datawarehouse, Should have dealt with various Data sources, Cloud enablement – Implementing Amazon Web Services (AWS), BI & Data Analytics – Implementing BI and analytics and utilizing cloud services, 5+ years of Experience testing applications on Hadoop products, 5+ years of Experience in setting up Hadoop test environments, Expertise in developing automated tests for Web, SOA/WS, DW/ETL, JAVA backend applications, Expertise in automation tools: Selenium (primary), HP UFT, Expertise in test frameworks: Cucumber, JUnit, Mockito, Expertise in programming languages: JAVA (primary), JavaScript, Proficiency with build tools: SVN, Crucible, Maven, Jenkins, Experience with project management tools: Rally, JIRA, HP ALM, Experience in developing and maintaining Hadoop clusters (Hortonworks, Apache, or Cloudera), Experience with Linux patching and support (Red Hat / CentOS preferred), Experience upgrading and supporting Apache Open source tools, Experience with LDAP, Kerberos and other authentication mechanisms, Experience with HDFS, Yarn, HBase, SOLR, Map-Reduce code, Experience in deploying software across the Hadoop Cluster using, Chef, Puppet, or similar tools, Familiarity with NIST 800 – 53 Controls a plus, Substantial experience, and expertise, in actually doing the work of setting up, populating, troubleshooting, maintaining, documenting, and training users, Requires broad knowledge of the Government's IT environments, including office automation networks, and PC and server based databases and applications, Experience using Open Source projects in Production preferred, Experience in a litigation support environment extremely helpful, Ability to lead a technical team, and to give it direction, will be very important, as will the demonstrated ability to analyze the attorneys' needs, and to design and implement a whole system solution responsive to those needs, Undergraduate degree strongly preferred; preferably in the computer science or information management/technology disciplines, 3+ years of software development and design, 1+ years developing application in a Hadoop environment, Experience with Spark, Hbase, Kafka, Hive, Scala, Pig, Oozie, Sqoop and Flume, Understanding of managed distributions of Hadoop, like Cloudera, Hortonworks, etc, Strong diagramming skills – flowcharts, data flows, etc, Bachelor's degree in Computer Science or equivalent work experience, 5+ years of software development and design, 3+ years developing application in a Hadoop environment, 3+ years of diverse programming in languages like Java, Python, C++ and C#, Well versed in managed distributions of Hadoop, like Cloudera, Hortonworks, etc, Understanding of cloud platforms like AWS and Azure, 5+ years experience in server side Java programming in a Websphere/Tomcat environment, Strong understanding of Java concurrency, concurrency patterns, experience building thread safe code, Experience with SQL/Stored Procedures on one of the following databases (DB2, MySQL, Oracle), Experience with high volume, mission critical applications, Sound understanding and experience with Hadoop ecosystem (Cloudera). 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. If you are working in a Hadoop environment you are most likely working on or ⦠), Must have experience with Reporting, Analytic and OLAP tools (Business Objects), You define the structure of the system, its interfaces, and the principles that guide its organization, software design and implementation, You are responsible for the management and mitigation of technical risks, ensuring that the Delivery services can be realistically delivered by the underlying technology components, Should be experienced in technology awareness & leveraging and innovation & growth capability, At least four, typically six or more years experience in systems analysis and application program development, or an equivalent combination of education and work experience, Requires a broad knowledge of the client area's functions and systems, and application program development technological alternatives, Requires experience with state of the art application development support software packages, proficiency in at least two higher level programming languages, some management capabilities, strong judgment and communication skills, and the ability to work effectively with client and IT management and staff, Lead analytics projects working as the BI liaison to other business units in Bell, Work in an iterative environment to solve extremely challenging business problems, Drive BI self-serve with other business units in Bell using tools like Microstrategy and Tableau, Documentation of all analytical processes created, Opportunity to be cross trained in other complementary area in Hadoop, Along with the rest of the team, actively research and share learning/advancements in the Hadoop space, especially related to analytics, Technical subject matter expertise in any of the following areas: Statistics, Graph Theory, Knowledge of various advanced analytical techniques with the ability to apply these to solve real business problems, Analyzes data requirements, application and processing architectures, data dictionaries, and database schema(s), Designs, develops, amends, optimizes, and certifies database schema design to meet system(s) requirements, Gathers, analyzes, and normalizes relevant information related to, and from business processes, functions, and operations to evaluate data credibility and determine relevance and meaning, Develops database and warehousing designs across multiple platforms and computing environments, Develops an overall data architecture that supports the information needs of the business in a flexible but secure environment, Experience in database architecture, data modeling and schema design, Experience in orchestrating the coordination of data related activities to ensure on-time delivery of data solutions to support business capability requirements including data activity planning, risk mitigation, issue resolution and design negotiation, Ability to design effective management of reference data, Familiar with data standards/procedures and data governance and how the governance and data quality policies can be implemented in data integration projects, Experience in Oracle Data Administration and/or Oracle Application Development, Experience in SQL or PL/SQL (or comparable language), Experience in large scale OLTP and DSS database deployments, Experience in utilizing the performance tuning tools, Experience in the design and modeling of database solutions using one or more of the following: Oracle, SQL Server, DB2, any other relational database management system, Experience in normalization/denormalization techniques to optimize computational efficiency, Experience with NoSQL modeling (HBASE, MongoDB, etc..) preferred, Have a Java background, experience working within a Data Warehousing/Business Intelligence/Data analytics group, and have hand’s-on experience with Hadoop, Design data transformation and file processing functions, Help design map reduce programs and UDFs for Pig and Hive in Java, Define efficient tables/views in Hive or other relevant scripting language, Help design optimized queries against RDBMS’s or Hadoop file systems, Have experience with Agile development methodologies, Work with support teams in resolving operational & performance issues, Provides expertise for multiple areas of the business through analysis and understanding of business needs; applies a broad knowledge of programs, policies, and procedures in a business area or technical field, Provides business knowledge and support for resolving technology issues across multiple areas of the business, Uses appropriate tools and techniques to elicit and define requirements that address more complex business processes or projects of moderate to high complexity. 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. 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. Resume in Doc, PDF, and ⦠Knowledge and experience in Linux/Unix computer networking, Knowledge and experience in storage systems (SAN, NAS), Knowledge and experience with either Perl or Python programming, Experience with large-scale Linux environments, Experience with Hive, MapReduce, YARN, Spark, Sentry, Oozie, Sqoop, Flume, HBase, Impala, etc, Minimum of 3-5 years of experience working in Hadoop/ Big Data related field, Working experience on tools like Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce etc, Minimum 2-3 years of hands on programming experience in Java, Scala, Python, Shell Scripting, Experience in end to end design and build process of Near-Real time and Batch Data Pipelines, Strong experience with SQL and Data modelling, Experience working in Agile development process and has good understanding of various phases of Software Development Life Cycle, Experience using Source Code and Version Control systems like SVN, Git etc, Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components, Self-starter who works with minimal supervision. Used spark streaming for the real time analysis of data coming constantly. 280 junior hadoop developer jobs available. Maintain ongoing and effective communications among all project stakeholders, both business and technical, Experience in developing and maintaining detailed project schedules using Microsoft Project Required, Must have Solid understanding of software development lifecycle methodologies, Excellent written and oral communication skills & Excellent listening and interpersonal skills, Develop strong and collaborative relationships with customers to achieve positive project outcomes, Certification: Manages engagements with complexity on EM level 1 or higher. 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. 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