Developing MapReduce Program to format the data, Must have hands on experience with Large Data Warehouses, Must have 6+ years of development experience in any of the following RDBMS including ORACLE, SYBASE, TERADATA, NETEZZA,etc, Experience in any ETL tools like, Informatica, InfoSphere, TalenD etc, Have the zeal to contribute, collaborate and work in a team environment Must have excellent communication skills, Should be proficient in Package Configuration, This position is for a Hadoop System Design Analyst/Developer to support a large global program, Progressive responsibilities in IT, with 4 + years of experience with Hadoop, Demonstrated ability to deliver project commitments, Experience in all phases of the development lifecycle, Must be team-oriented and have excellent oral and written communication skills, Good organizational and time-management skills, Experience with business intelligence projects, Experience in supporting continuous improvement by investigating development alternatives, Experience with emerging technologies, cloud architectures, security and/or any other Hadoop technologies, Experience with in-depth data analysis, data profiling and modeling, Knowledge and past experience in Marketing and Sales, Help deliver TC BOM Reporting project that replaces BOM QOS utilizing Hadoop technologies, Basic UNIX skills, Hadoop technologies (Scoop, Hive etc. Free Collection Flume 1 6 0 User Guide — Apache Flume Documentation Examples. abc company,Banglore. Follow Us including participation in the community, 1-2years of ETL data integration development and Scrum Agile development, Understanding of versioning, change control, and problem management, Test and UAT planning, preparation, execution, analysis and reporting, Conduct all activities in accordance to the testing strategy and plan and deliver on its goals, Maintain test packs and project documentation; incorporate any additional tests that have been identified following a production incidents, Ensure the timely reporting and classification of defects, Analyze test results and measuring of KPI’s against defined quality criteria, Record and escalate risks and issues as appropriate, Ensure adherence to testing best practices and DB testing standards, Champion and participate in the activities of the broader QA and Testing community, Align to the wider team / group objectives, Proven experience in Testing roles and/or leading testing teams, High level understanding of financial products, exposure to regulatory testing is desirable, Experience in test management and defect tracking tools (ALM - Quality Center), Experience in planning and executing testing across complex interdependent projects, Understanding of testing across the full Software Development Life-Cycle, Customer and service orientation to support interaction with team resources and clients, Performance and productivity oriented to drive toward quality testing outcomes and results, Demonstrated ability to deliver results in a multi-cultural, multi-vendor, geographically dispersed team environment, Hadoop and Big Data architecture – Java, map-reduce, HBASE/HIVE, Oozy, Pig and other Hadoop eco-systems components, Financial experience, cross product or regulatory knowledge, Previous experience of working in Agile methodology, Hands on business and systems knowledge gained in a Financial Services environment, Measures and analyzes code for quality. Indeed may be compensated by these employers, helping keep Indeed free for job seekers. RDBMS (Oracle, Netezza, SQL Server) knowledge for SQL code development, ETL experience. Hadoop Explained – learn how Hadoop works and what it does in this book, which also offers tips for successfully using Hadoop to manage large amounts of data . Hadoop Developer Sample Resume World's No 1 Animated self learning Website with Informative tutorials explaining the code and the choices behind it all. Hadoop Developer Resume; Big Data Engineer Sample Resume; Archives. Prefer knowledge with sqoop, oozie, hive, and/or spark, Manage data extraction jobs, but also play a vital role to build new data pipelines from various structured and unstructured sources into Hadoop, Execute and/or support the test certification scripts, analyze the results to validate the results against established success criteria, Support patching, incident and problem management activities, Enable environment sustainability through technology training and development of user guides and knowledge artifacts, Bachelor Degree in Computer Science, Information Systems, Math, Finance, Economics or related field, 2 + years of strong hands-on experience developing code in Hadoop with knowledge of Hive, Pig, and/or Sqoop, 3 + years of strong hands-on experience developing in Python, shell scripting, JAVA, Strong foundational knowledge of Unix, Hadoop architecture and Hadoop Distributed File System (HDFS) landscape, Nice to have skills with AWS, Scala, Oracle and/or Netezza, Must be detail oriented and possess strong problem-solving skills, Demonstrates excellent communication and time management skills, Responsible for building and supporting a Hadoop-based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data, Manage and optimize Hadoop/Spark clusters, which may include many large HBase instances, Support regular requests to move data from one cluster to another, Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion, Bring new data sources into HDFS, transform and load to databases, Work collaboratively with Data Scientists and business and IT leaders throughout the company to understand Big Data needs and use cases, Bachelor’s degree in Computer Science, or related discipline; with at least 5 years of equivalent work experience, Strong understanding of best practices and standards for Hadoop application design and implementation, Hands-on experience with Cloudera Distributed Hadoop (CDH) and experience with many of the following components, 4+ years Hadoop development and implementation, including developing Hadoop search queries, Demonstrated hands on experience using Hive, Pig, Sqoop, MapReduce, etc, Demonstrated experience in designing, building, installing, configuring and supporting Hadoop, Experience creating scalable and high-performance web services for data tracking, Hands-on experience managing and deploying HBase, Demonstrated experience with large data sets and technical data, Ability to obtain a Public Trust clearance, Testing prototypes and overseeing the handover to operational teams, Analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports, Experience with IBM Counter Fraud Management and Improper Payments is a plus, Automate deployment and management of Hadoop services including implementing monitoring, Drive customer communication during critical events and participate/lead various operational improvement initiatives, 2+ Years of strong Hadoop/Big Data experience with an overall industry experience of 8+ years at various levels with good amount of in Java programming, Good knowledge of Big Data querying tools, such as Pig,Hive and Impala, Knowledge of workflow/schedulers like Oozie, Bachelor’s degree MCA/B.Tech/M.E./M.Tech. , but it won ’ t just be handed to you such Pig. 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