Hire Now PROFESSIONAL SUMMARY: One year of experience in the IT industry with the Hadoop ecosystem and good understanding with the Big Data technologies. 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. Ability to operate effectively and independently in a dynamic, fluid environment, More than 10+ years Experience in IT project management, specifically in managing medium-to-large scale software application development projects, Effectively coordinate resources and assignments among project assignees, Manage and monitor project progress within the constraints of the project management plan, schedule, budget and resources. ), 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. Tools and Technologies : Hadoop HDFS, Map Reduce 1 Assignment Details Period : September 2012 â July 2013 5. Include the Skills section after experience. Jul 6, 2020 - Jr spark developer at entryleveljobs job in richmond at idc technologies inc big developer resume sles difference between hadoop and spark hadoop developer spark wipro ltd Hadoop Developer Resume Sles QwikresumeJob Responsibilities Of Hadoop Developer â¦ ... SQL Developer Resume; Test Engineer Resume; ... Lead a team of 15 junior â¦ 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. Kerberos, Able to do Code reviews as per organization's Best Practices, Good Knowledge of Java, SQL and no-Sql databases, Deployment and debug of Applications in multiple environments, Good knowledge of Linux and shell scripting as Hadoop runs on Linux, Performance tuning of Hadoop clusters and Hadoop MapReduce routines, Screen Hadoop cluster job performances and capacity planning, Knowledge on Data-warehousing Concepts and Domain knowledge of Automobile industry is a plus, Ability/Knowledge to implement Data Governance in Hadoop clusters, Interpret analytics results to create and provide actionable client insights and recommendation, Experience working on hadoop ecosystem components like hdfs, hive, map-reduce, yarn, impala, spark, Sqoop, HBase, Sentry, Hue and Oozie, Installation, configuration and Upgrading Cloudera distribution of Hadoop, Responsible for implementation and on-going administration of Hadoop Infrastructure, Experience working on Hadoop security aspects including Kerberos setup, RBAC authorization using Apache Sentry, Create and document best practices for Hadoop and Big data environment, Performance tuning of Hadoop clusters, Impala, Hbase, Solr, and Hadoop MapReduce routines, Strong troubleshooting skills involving map reduce, yarn, sqoop job failure and its resolution, Analyze multi-tenancy job execution issues and resolve, Backup and disaster recovery solution for Hadoop cluster, Experience working on Unix operating system who can efficiently handle system administration tasks related to Hadoop cluster, Knowledge or experience working on NO-SQL databases like HBase, Cassandra, Mongodb, Troubleshooting connectivity issues between BI tools like Datameer, SAS and Tableau and Hadoop cluster, Working with data delivery teams to setup new Hadoop users. 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¦ New junior hadoop developer careers are added daily on SimplyHired.com. This includes developer best practices and movement/management of data cross the ecosystem, Helps lead database strategic planning and consulting on the big data ecosystem platform selection, version implementation, software product recommendation, and usage of enhanced functionality, Keeps abreast of latest products and technology and their successful deployment in similar corporate settings, Assists the larger data platform team in providing problem identification and complex resolution support through analysis and research, Participates in the design, implementation, and ongoing support for data platform environments, associated network and system configurations as requested by related support groups, Contribute to evolving design, architecture, and standards for building and delivering unique services and solutions, Implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions, Leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance, Support and implement DevOps methodology; and, Develop and automate robust unit and functional test cases, Technology experience required; Kafka, RabbitMQ or other Enterprise messaging solution, Other technologies good to have; Storm, Spark, Flink, Flume, Sqoop, NIFI or Horton DataFlow, In depth experience with HortonWorks or one of the major Hadoop distributions, Java scripting and application support experience strongly desired, Working experience in at least one automation scripting language such as Ansible, Puppet/Chef, etc, Working experience in test case automation tool, Experience with virtualization technologies required, You are driven to solve difficult problems with scalable, elegant, and maintainable solutions, Expert troubleshooter – unwilling to let a problem defeat you; unrelenting, persistent, confident, A penchant for thinking outside the box to solve complex and interesting problems, Extensive knowledge of existing industry standards, technologies, and infrastructure operations; and, Manage stressful situations with calm, courtesy, and confidence, Responsible for defining Big Data Architecture and developing Roadmap for Hortonworks HDP 2.5 platform, Proven architecture and infrastructure design experience in big data batch and real-time technologies like Hadoop, Hive, Pig, HBase, Map Reduce, SPARK and STORM, Kafka, Proven architecture and infrastructure design experience in NoSQL including Cassandra, HBASE, MongoDB, Prior experience leading software selection, Ability to create both logical architecture documentation and physical network and server documentation, Coordination of initial Big Data platforms implementation, Overall release management /upgrade coordination of Big Data platform, Good to have Hadoop Administration hands-on skills, Good to have understanding of security aspects related to Kerborised Cluster, Appreciation of challenges involved in serialization, data modelling and schema migration, A passion for Big Data technologies and Data in general, Understanding of derivatives (Swaps, Options, Forwards). Bank of America is one of the financial and commercial bank in USA, needs to maintain, process huge amount of data as part of day â¦ Headline : Junior Hadoop Developer with 4 plus experience involving project development, implementation, deployment, and maintenance using Java/J2EE and Big Data related technologies. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users, Contribute ideas to application stability, performance improvements and process improvements. Related Jobs. 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. Will be ready to learn and explore new ideas, processes, methodologies and leading edge technologies. Senior ETL Developer/Hadoop Developer Major Insurance Company. Experience on Hadoop â¦ Expertise in HDFS, MapReduce, Hive, Pig, Sqoop, HBase and Hadoop â¦ Project: Enterprise Credit Risk Evaluation System. "), Providing expertise in provisioning physical systems for use in Hadoop, Installing and Configuring Systems for use with Cloudera distribution of Hadoop (consideration given to other variants of Hadoop such as Apache, MapR, Spark, Hive, Impala, Kafka, Flume, etc. May 2016 to Present. Proactively identify risks and issues affecting project schedules and objectives and appropriately escalate these issues, with recommendations, to senior managers. 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. 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.
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