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. ), 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. 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. Create and maintain Technical Alerts and other related technical artifacts. 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). 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. Power BI Resume Samples - power bi developer roles and responsibilities - power bi developer resume sample - power bi resumes - power bi developer responsibilities - power bi desktop resume - power bi admin resume - power bi resume … hadoop developer resume patient account rep supervisor resume Professional Junior Ruby Rails Developer Resume Resume Resume Simple 12 React Js Resume Ideas Printable Free Download Essay Writing Services Legal Edible Garden Project Emma Model Engineer Research Resume Samples Sample, Big Data Hadoop Testing Resume Resume Resume Sample Simple Big Data Hadoop Fresher Resume Resume Resume … | Cookie policy, One year of experience in the IT industry with the, Experience on Hadoop environment includes, In depth knowledge of Hadoop Architecture and its various componets such as, Job workflow scheduling and monitoring using tools like. 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. Scale out the Big Data platform in a multi-cluster environment Support the implementation of a manageable and scalable security … in Computer Science or related fields, Field technical experience in the large enterprise segment in the Linux/Unix space. May 2016 to Present. See salaries, compare reviews, easily apply, and get hired. in an agile manner, Support HomeAway’s product and business team’s specific data and reporting needs on a global scale, Close partnership with internal partners from Engineering, product, and business (Sales, Customer Experience, Marketing etc. Working with data delivery teams to setup new Hadoop users. 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. Ability to maneuver cross-organizationally and demonstrate a high-level of professionalism. Demonstrated skills both written and oral are required, Experience in the development of financial applications is a strong plus, Ability to multi-task and handle multiple priorities, Familiar with a flavor of Hadoop (Cloudera a nice to have) and a common relational database (Oracle, SQL Server, DB2, MySQL), Provide leadership in establishing analytic environments required for structured, semi-structured and unstructured data, Qualifications: 3-9 years experience, Bachelor’s Degree, Provides design recommendations based on long-term IT organization strategy, Develops application and custom integration solutions, generally for one business segment; solutions include enhancements and interfaces, functions and features, Uses a variety of platforms to provide automated systems applications to customers, Provides solid knowledge and skill regarding the integration of applications across the business segment, Determines specifications, then plans, designs and develops moderately complex software solutions, utilizing appropriate software engineering processes – either individually or in concert with project team, Will assist in resolving support problems, Recommends programming and development standards and procedures and programming architectures for code reuse, Has solid knowledge of state-of-the art programming languages and object-oriented approaches in designing, coding, testing and debugging programs, Understands and consistently applies the attributes and processes of current application development methodologies, In-depth knowledge of end-to-end systems development life cycles (including waterfall, iterative and other modern approaches to software development), Ability to estimate work effort for project sub-plans or small projects and ensure the project is successfully completed, Positive outlook, strong work ethic, and responsive to internal and external customers and contacts, May require a thorough understanding of design patterns and their application, May require a thorough understanding of Model-View-Controller design patterns for web applications, May require a fluency in developing and understanding sequence diagrams, class models, etc, Working with XML/JSON/ORC/CSV/TXT formats, Strong Knowledge in Hadoop Architecture and its implementation, Manage Hadoop environments and perform Installation, administration and monitoring tasks, Strong understanding of best practices in maintaining medium to large scale Hadoop Clusters, Design and Maintain access and security administration, Design, Implement and Maintain backup and recovery strategies on Hadoop Clusters, Design, Install ,Configure and maintain High Availability, Perform Capacity Planning of Hadoop Cluster and provide recommendations to management to sustain business growth, Create Standard Operational Procedures and templates, Experience in whole Hadoop ecosystem like HDFS, Hive , Yarn, Flume, Oozie, Flume, Cloudera Impala, Zookeeper, Hue, Sqoop, Kafka, Storm, Spark and Spark Streaming including Nosql database knowledge, Proactively identify opportunities to implement automation and monitoring solutions, Proficient in setup/using Cloudera Manager as a monitoring and diagnostics tool and also to identify/resolve the Performance issues, Good knowledge of Windows/Linux/Solaris Operating systems and shell scripting, Strong desire to learn a variety of technologies and processes with a 'can do' attitude, Ability to read, write, speak and understand English, Ability to show judgment and initiative and to accomplish job duties, Ability to work with others to resolve problems, handle requests or situations, Ability to effectively consult with department managers and leaders, 8-10 years of hands-on experience in handling large-scale software development and integration projects, 6+ years of experience with Linux / Windows, with basic knowledge of Unix administration, 3+ years of experience administering Hadoop cluster environments and tools ecosystem: Cloudera/Horton Works/Sqoop/Pig/HDFS, Experience in Spark, Kerberos authorization / authentication and clear understanding of cluster security, Exposure to high availability configurations, Hadoop cluster connectivity and tuning, and Hadoop security configurations, Expertise in collaborating with application teams to install the operating system and Hadoop updates, patches, version upgrades when required, Experience working with Load balancers, firewalls, DMZ and TCP/IP protocols, Understanding of practices for security, support, backup and recovery, Experience with hardware selection and capacity planning, Experience in working with RDBMS and Java, Exposure to NoSQL databases like MongoDB, Cassandra etc, Certification in Hadoop Operations or Cassandra is desired, Bachelor degree in Computer Science, Information Systems or related discipline; Or 6 years of prior equivalent work related experience in lieu of a degree, Working knowledge of statistics, programming and predictive modeling, Experience working in data mining or natural language processing, Mastery of statistics, machine learning, algorithms and advanced mathematics, Code writing in R, Python, Scala, SQl, Spark (1.6 and 2.0) for machine learning, Shows strong knowledge of basic and advanced prediction models, Data mining knowledge that spans a range of disciplines, 2+ years of hands-on development, installation & integration experience with Hadoop technologies, Experience securing Hadoop clusters with Kerberos & Active Directory, Data ingestion experience leveraging Sqoop and Oozie, Hands on development experience with Apache technologies such as Hadoop, Spark, Hbase, Hive, Pig, Solr, Sqoop, Kafka, Oozie, NiFi, etc, Hands-on development experience with one or more of Java, Python, Scala, Experience designing data queries against data in the HDFS environment using tools such as Apache Hive and Apache HBase, Design and develop big data solutions using industry standard technologies, Develop services that make big data available in real-time for in-product applications, Serve as technical “go to” person for our core Hadoop technologies, Lead fast moving development teams using standard project methodologies, Lead by example, demonstrating best practices for unit testing, performance testing, capacity planning, documentation, monitoring, alerting, and incident response, Experience in Unix shell scripting, batch scheduling and version control tools, Ability to design custom solutions for customers who desire Big Data options to enhance their current technical limitations, Demonstrated industry leadership in the fields of database, data warehousing, Data Analysis- Input, understand, analyze and act on data, Business Owner Mindset- Operate with keen business knowledge, expense, risk & controls driven mindset, Help create an innovative environment in which experimentation is welcomed and new solutions can be quickly implemented and iterated, while still maintaining a high level of quality, Setup highly available Hadoop clusters, understanding of how and when to scale, add and remove nodes, keep track of jobs, monitor critical parts of the cluster, schedule, and configure backups, Collaborate with peers on work estimation/planning and implementation of new versions/features of tools, The responsibilities include administration of Hadoop cluster, but not limited to the following, Monitor Hadoop cluster for performance and capacity planning, Manage and administer NoSQL Database systems, Experience of Deploying and Maintaining Server Hardware at scale, Degree or equivalent professional experience, Excellent communications skills and experience in a Customer-facing role, Ability to quickly pick up and use new tools and technologies, Experience of leading technical teams and mentoring more junior staff members, Capable of working independently, managing time effectively and supporting multiple production environments simultaneously, Perform application, component and infrastructure design, database design and modeling and performance tuning activities in the project, Lead the tasks related to installation, maintenance, deployments and/or upgrade of the bank’s Hadoop components, related third-party software and applications across all platforms, Assist with the installation, maintenance, deployments and/or upgrade of the bank’s Hadoop components, related third-party software and applications across all platforms, Produce well structured, high quality Design and maintainable code; produce Unit Tests, detailed specifications and documentation, and will QA code that peers have written, Work closely with Architects and SMEs to understand project requirements, do estimations prepare high level and low level design, Expertise in creating technical design documents and giving walk-throughs to the stakeholders; expertise in Performance Tuning and Optimization Techniques for the ETL processes on the BigData/Hadoop platform, Expertise in incident, Problem and Change Management processes with experience in at least 1 tool; Cloudera certification (any other Hadoop Technology), Thorough with the Hadoop Architecture and having good awareness on the different Hadoop Toolsets; experience on Hive, Spark, Oozie and Cloudera Hue and Java – Hadoop Integration, Strong hands-on experience on Unix/Linux shell scripting; around five years of experience in a Support projects; skills with Configuration management tools (ClearCase preferred), Expertise in Performance Tuning and Optimization Techniques for the ETL processes on the BigData/Hadoop platform; experience in working with database and SQL queries, Implement and develop Cloudera Hadoop data driven platform with advanced capabilities to meet business and infrastructure needs, Leads the discovery phase, design and development of medium to large scale complex projects with agile approach and security standards, Leads and participates in proof-of-concept for prototypes & validate ideas, automating platform installation, configuration and operations processes and tasks (Site reliability engineering) of global events data platform, Contributes to continuous improvement by providing optimized practices, efficiency practices in current core services (platform, and infrastructure) areas, Work with offshore team and provides development opportunities for associates, Supporting change management and operations support for security events platform with ITSM/ITIL standards, 10+ years of work experience within one or more IT organizations. 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