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. Provide direction to junior programmers Handle technical documentation, architecture diagram, data flow diagram, server configuration diagram creation ... Lead Big Data / Hadoop Application Developer Resume … 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? C# & .NET Certified NIIT. Hadoop Developer with 4+ years of working experience in designing and implementing complete end-to-end Hadoop … Experience in installing configuring and using Hadoop … Create and maintain Technical Alerts and other related technical artifacts. 280 junior hadoop developer jobs available. Project: Enterprise Credit Risk Evaluation System. on a daily basis, Review any best practices / innovations as circulated within the group, Participate and network with Community of Practice to discuss/ resolve any business problems as faced during projects, Expertise in Hadoop ecosystem products such as HDFS, MapReduce, Hive, AVRO, Zookeeper, Experience of Business Intelligence - Ideally via Tableau/Microstrategy using Hive, Experience with data mining techniques and analytics functions, Work at a client site or in a home office with a team of 1-3 associates developing and applying data mining methodologies, Member of onsite/near-site consulting team, Coordination with external vendors and internal brand teams, Recommend next steps to ensure successful project completion and to help team penetrate client accounts, Outlining and documenting methodological approaches, Keep up to date on latest trends, tools and advancements in the area of analytics and data, Identify Project level tools or other items to be built for the Project, At least 6 years of experience in engineering, system administration and/or Devops, At least 4 years of experience in designing, implementing and administering Hadoop, Managing 24x7 shifts with the onsite/offsite engineers, responding to PagerDuty alerts, Experience working within the requirements of a change management system, Proven ability to adapt to a dynamic project environment and manage multiple projects simultaneously, Proven ability to collaborate with application development and other cross functional teams, Ability to coach and provide guidance to junior team members, Experience in administering Cluster size greater than 6 PB OR 200 Datanodes, Knowledge in bash shell scripting to automate administration tasks, Understanding of Hive metadata store objects, Monitoring Linux host health in Ganglia and responding to Nagios alerts/Pager alerts, Experience in capacity planning the big data infrastructure, Providing optimization tips to ETL team about efficient methods in performing operations in Hadoop Platform (Hive), Involvement on Open source products/technologies development is a great plus, Demonstrated knowledge/experience in all of the areas of responsibility provided above, General operational knowledge such as good troubleshooting skills, understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage and networks, Must have knowledge of Red Hat Enterprise Linux Systems Administration, Must have experience with Secure Hadoop - sometimes called Kerberized Hadoop - using Kerberos, Knowledge in configuration management and deployment tools such as Puppet or Chef and Linux scripting, Must have fundamentals of central, automated configuration management (sometimes called "DevOps. 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. My roles and responsibilities include:- Gather data to analyze, design, develop, troubleshoot and implement business intelligence … 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. ), 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. Ability to deliver succinct and concise presentations, 4) Product / problem analysis. Tableau Developer. Hadoop Developers are similar to Software Developers or Application Developers in that they code and program Hadoop applications. Ability to maneuver cross-organizationally and demonstrate a high-level of professionalism. Expertise in HDFS, MapReduce, Hive, Pig, Sqoop, HBase and Hadoop … 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. 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. Domain : Aviation TTeeaamm SSiizzee :: 160 TReoalem Size :: 1S0enior Developer … 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).

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