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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 professional or job experience section to your resume to inform the recruiter that you have the necessary experience for the available position. 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. Be knowledgeable in all NGC Programs HIPAA compliance requirements and proactively address any HIPAA concerns. Let us check out the raise in the salary trends for Hadoop developers compared to other profiles. Dimensions, TFS, GitHub), Experience with scripting for automation and configuration management, Enterprise level design and development around Big Data and Hadoop ecosystem, Oracle technologies including Oracle Database as well as DataStage, Should be able to provide end to end technical oversight of all team deliverables as well ensure defect free delivery by him/her undertaking extensive code and design reviews, Should be able to execute enterprise level big sized data related projects end to end by doing gap analysis with multiple stakeholders, Should be able to design and build highly performance and real time system and services, In depth knowledge of Enterprise data transformation patterns, Very good knowledge and experience on the Agile methodologies, Can identify the specific functions and responsibilities and key customers and relationships of own IT department/function, Can describe rationale for major IT initiatives and identify major IT issues, Able to interpret and apply policies and standards, Contributes to the development and implementation of standards and procedures, Has a working knowledge of one or more of the components in the technology strategy, Can identify the technologies in all the architecture patterns, Has participated in the evaluation and implementation of new technologies, Familiar with the syntax, structure, features and facilities of at least one language, Can define, document and interpret an application system design and program specifications, Experienced with the use of a specific application development toolkits, Monitors performance of major elements on an on-going and historical basis, Has supported software quality assurance reviews and monitoring activities, Has participated in most of the delivery activities on multiple development projects, Experience managing or leading a specific administration or support function, Participate in design discussions and contribute to the architecture process, Understand the functional requirements and the timelines, Work effectively with team of strong Hadoop consultants located across multiple locations, Track, Report appropriate development status periodically, Expertise in design and architecture of Hadoop based Enterprise applications, Strong hands-on experience with Hive, Java, Pig, Impala and HDFS, Strong understanding and experience in Hive database design and SQL, Experience in designing and implementing complex ETL processes and workflows using Oozie, Experience in working with scheduling systems like Autosys and TWS, Experience in configuring and deploying on Hadoop environment, Experience with version control and build tools i.e. ), 2+ years' experience inBig Data: Hadoop, HDFS, Hive, Impala, Spark, YARN [optional: HBase, Map-Reduce, No SQL (Mongo, Casandra), Kafka)], 1+ yearsSecurity experience (Network Authentication Protocol) or Kerberos experience (Security experience relating to Network Protocol), 2+ years Maven and familiarity working with Linux/UNIX shell Scripts, Jenkins, cloudera or hortonworks experience is a plus**, Apache/Open source experience is a plus**, Deploy and manage business technology solutions and applications, analytical technology solutions, Manage technology solutions portfolios, and identifying new technology approaches to solve business problems with a strong focus on leveraging enterprise data in our Hadoop data lake and compare facilities, Enable analytics partners to investigate, research, and analyze transactional data, Combine their technical expertise with the ability to architect, deploy, and oversee integrated analytics/business technology solutions, Contribute to the building and management of the analytics infrastructure for the Advanced Research & Analytics (ARA) team, Manage internal engagements, meeting project and deliverable timelines, ensuring the accurate and timely completion of deliverables, Work with Analytics Directors on staffing needs, strategic technology trend identification, monitoring project progress and completion, issue resolution and technical solutions related to data, data flow and advising on algorithm deployment, Deploy and oversee end-to-end analytics and data technology capabilities, Manage big data infrastructure including data processes; acquisition, storage, transformation, and analysis, Establish technology strategies, team direction, resolve problems and provide guidance to members of own team, Adapt departmental plans and priorities to address business and operational challenges, Make product, service or process decisions likely to impact multiple groups of employees and/or customers (internal or external), Collaborate with analytics practitioners, business analysts and methodologists to design and oversee the development of working prototypes of technical solutions, Facilitating the creation of complex statistical statements on healthcare data that measures various aspects of healthcare services, consumer episodes, and operational events, Prioritize and manage an analysis plan and several technical work streams in support of UHC initiatives and programs, 2+ years in enterprise architecture or data warehousing or business intelligence or software development, Proficiency in at least one programing language with demonstrated experience developing technical solutions: Java, C, .NET, SQL, Demonstrated time management and project management skills, Ability to navigate and drive results in a matrix environment, Ability to document and communicate complex technical concepts, Competency to convert research requirements to analytical specifications, Able to recognize technical and analytical problems and solution with minimal supervision, Effective in fast-paced team-oriented environment, Bachelor's degree in Engineering, Computer Science, Information Technology, Healthcare Economics, Mathematics, Statistics, Biostatistics, Theoretical Physics, Quantitative Social Sciences, Actuarial Science, 2+ years of technology, research or problem solving experience, Previous experience with Teradata, Netezza, Greenplum, Aster Data, Vertica, Hadoop, Experience with statistical software integration (e.g., SAS , SPSS, or R), Familiarity with visualization capabilities such as D3.JS and Tableau (and Tableau server), Knowledge of NoSQL platforms (e.g., MongoDB, Couchbase, MarkLogic etc. However, more complex assignments may require closer supervision and assistance, Designs, codes, tests, and debugs programs of varying degrees of complexity, Works directly on application/technical problem identification and resolution, including off-shift and weekend support functions, Works independently on complex modules that may be used by one or more programs or applications, Works independently on complex projects that may span multiple infrastructure components, Under the direction of more senior staff, assists in the development of major application modules and programs, Participates in integrated testing and user acceptance of application or infrastructure components, Works with vendors on the integration of purchased application and/or infrastructure solutions, Assists less senior staff with logic problems and interpretation of specifications, Fully knowledgeable of programming languages appropriate to the platform supported, program design and specification development, programming logic, logic diagrams, basic system analysis techniques, testing, debugging, documentation standards, file design, storage and internal systems, Designs and implements processes, or process improvements, to aid in development and support, Bachelor’s Degree in Computer Science, Information Technology, M.I.S., Analytics, Statistics, Mathematics, or Computer Technology related field, 2+ years of application development or support experience, 1+ year of experience in relational data base, Knowledgeable of the latest technology in programming languages; computing hardware and software; and current development processes and tools, 2 to 4 years of programming, integration or infrastructure experience, Knowledge of Caterpillar policies and procedures, and a general understanding of Caterpillar’s organization, Flexibility in adapting to team requirements, Ensuring adherence to defined process & quality standards, best practices, Ensuring high quality levels in all deliverables, Adhere to team’s governing principles and policies, Participate in mandatory training and cross functions across team, Demonstrate enthusiasm and zeal to acquire domain knowledge, Participate and contribute to Team/Project Reviews, Actively involved in Process improvements and automations, 2+ years of experience in design and implementation of big data applications using Hadoop technologies such as Spark SQL, Spark Data Frames, Hive, Sqoop, Oozie and Kudu, Hands on experience with Python and Scala are nice to have, 3 years working experience in Java/J2EE and Object Oriented programming, Experience working with Open source frameworks, Experience in job scheduling tools like Autosys, Experience in Banking or financial services domain, Participation in meetings with the customer, Experience/Knowledge of Hadoop generally, and specifically HDFS & HIVE table definitions, Knowledge of database principles such as denormalisation, data types, data integrity.Knowledge of Pentaho or Informatica (ideal), Understanding of logical data modelling (LDM) and mapping data to LDM’s, 6 or more years of relevant industry experience, Ability to deploy and maintain multi-node Hadoop cluster, Extracting and exporting data using Sqoop from sources such as SAP HANA, AS400, Oracle and SQL Server, Developing data pipelines using Hive and Impala, Shell scripting experience to manage the data pipelines, Basic understanding of security concepts on a Hadoop platform – Kerberos, Sentry, AD Groups, etc, Kafka is a good to have, since we have some upcoming use cases, Knowledgeable in techniques for designing Hadoop-based file layout optimized to meet business needs, Experience with NoSQL Databases – HBase, Apache Cassandra, Vertica, or MongoDB, Able to translate business requirements into logical and physical file structure design, Ability to build and test rapidly Map Reduce code in a rapid, iterative manner, Web Development: HTML5, CSS3, JavaScript, JSON, XML, J2EE Technologies: JSP / Servlets, EJB3, JMS, JDBC, JMX, JMS, Web Services: SOA, XML, XSL, SOAP, REST, Spring MVC, Spring Boot, Application Development: Python, Java, Ruby, Data-Layer Development: MySQL, PostgreSQL, NoSQL, Hadoop: HDFS, Hive, Spark, HBase, Impala, Apex, Sound understanding of continuous integration & continuous deployment environments, Solid understanding of application program interfaces (APIs), messaging software and interoperability techniques and standards, Strong analytical skills with a passion for testing, History of open source contribution is a plus, Bachelor’s degree in Computer Science or Information Systems or equivalent practical experience.

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