Hadoop Developer. Big Data Hadoop Administrator Resume. I've inplemented solutions written in Java and Scala. Data Visualisation and Analytical Skills; Big data tools essentially carry out data analysis to derive important insights from the large datasets. Stracke Pakistan (Pvt.) Relies on experience and judgment to plan and accomplish goals, Performs a variety of tasks. Oozie, Cascading, Spark), Develop quality scalable, tested, and reliable data services using industry best practices, Create and maintain quality software using best-in-class tools: Git, Splunk, New Relic, Sonar and TeamCity, 1) Bachelor of Science degree in Computer Science or Computer engineering - specifically with a focus on software development as opposed to network engineering. Furnish insights, analytics and business intelligence used to advance opportunity identification, process reengineering and corporate growth. Their business involves financial services to individuals, families and business. ), Strong software development lifecycle management experience with waterfall and agile development methodologies, Strong programming skills in Scala/R/Java, Cloudera/Hortonworks BigData certification is desirable, Kafka, Spark, Oozie, Sentry and Scala knowledge is desirable, Experience on serialization frameworks like Avro, Protocol buffers, Build a database to store and manage over 2 million completed survey responses for our online polling and continuously updating voter file of the Unites States which includes over 192 million voters, Manage the technical communication between the survey vendor and internal systems, Manage data ingestion to support structured queries and analysis, Maintain system with weekly and daily updates, Serve as primary technical member in a team of data scientists whose mission is to quantitatively analyze political data for editorial purposes, Design, build, test, and maintain data-driven applications, Collaborate with other development and research teams on Big Data application development, Document applications, processes, and procedures, Solid understanding of the Big Data ecosystem, Exposure to Business Intelligence technologies and reporting, Experience with data cleansing, data management, and data governance, Minimum of 3 years of software development experience, Familiarity with networking components, protocols, challenges, and solutions, Understanding of Analytics software, e.g. Big data area is really very big, So Knowledge needed for Big data developer would also be big. Import data using Sqoop into Hive and Hbase from existing SQL Server. 3,512 Big Data Hadoop Developer jobs available on Indeed.com. Hadoop/Big Data Developer resume in Piscataway Township, NJ, 08854 - October 2016 : hadoop, aws, js, tableau, python, dba, etl, jira, developer, lte Database Developer Resume Examples. Data Warehouse Engineer, Hadoop Developer, Business Intelligence Developer and more! Implementation of Real time Fraud detection app using Spark Streaming Kafka and Cassandra. Present the most important skills in your resume, there's a list of typical big data developer skills: Strong Tableau modeling and reporting skills Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. First i mpression is everything. 2+ years of hands on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG, 2+ years of Agile / Scrum methodology experience, Work with business stakeholders to understand requirements / business use cases, Design and develop dashboards / reports / data discovery workflows / analytics solution using big data analytics tools such as Splunk, AtScale, and Platfora & Tableau, Develop data pipelines to consume data from Enterprise Data Lake (MapR Hadoop distribution - Hive tables/HDFS) for analytics solution, Perform functional and performance testing, Deploy big data solutions into production, Work with Infrastructure team in deploying solutions into production, Implement projects / use case in agile environment, Responsible for maintaining & monitoring data quality for Analytical dashboards / reports, Contribute to Knowledge repository by documenting technical design considerations, best practices, business workflows, project documentation, troubleshooting guide etc, Provide business user support. Let’s choose one from these Big Data Careers – Spark Developer or Hadoop Admin. Capable of processing large sets of data like unstructured and structured and supporting architecture and applications. Use this Big Data Developer resume sample as a base to create a unique resume for yourself. Resume in Doc, PDF, and image version. If you're ready to apply for your next role, upload your resume to Indeed Resume to get started. Check out more winning resume examples for inspiration. May 2016 to Present. Big Data Developer Job Description, Key Duties and Responsibilities This post provides complete information on the job description of a big data developer to help you learn what they do. Candidate Info. Big Data Hadoop Resume Sample. Sort by: relevance - date. This FREE Big Data Developer resume example combines job responsibilities, experience, achievements, summary of qualifications, technical skills and soft skills generated from a database of successful resume models. Hadoop Developers are similar to Software Developers or Application Developers in that they code and program Hadoop applications. Responsibilities: Analyzing the requirement to setup a cluster. would be an added advantage, Ability to manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever-evolving business needs, Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations, Financial Services and Commercial banking experience is a plus, Bachelor's degree in a technical or quantitative field with preferred focus on Information Systems, 3-5+ years of Experience in Java Development, 2+ years of Experience with Python is preferred, Strong Experience with UNIX shell scripting to automate file preparation and database loads, Experience in implementing distributed and scalable algorithms (Hadoop, Spark) is a plus, Experience with multiple reporting tools (QlikView/QlikSense, Tableau, SSRS, SSAS, Cognos) is a plus, Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems, Must be able to communicate complex issues in a crisp and concise fashion to multiple levels of management, Identify, analyze, and interpret trends or patterns in complex data sets, A minimum of 3 years working with HBase/Hive/MRV1/MRV2 is required, Experience working with Apache Spark, Storm, Kafka is preferred, Experience in integrating heterogeneous applications is required, Experience working with Systems Operation Department in resolving variety of infrastructure issues, Experience designing and supporting RESTful Web Services is required, Knowledge and understanding of SDLC and Agile/Scrum procedures, processes and practices is preferred, Minimum 3+ Experience in a Big Data technology (Hadoop, YARN, Sqoop, Spark SQL, Nifi, Talend, Hive, Impala, Oozie etc. Indeed may be compensated by these employers, helping keep Indeed free for job seekers. Business Intelligence Developer Resume Samples and examples of curated bullet points for your resume to help you get an interview. Role: Big Data Developer. Database Developers, also referred to as Database Designers or Database Programmers, meet with analysts, executives and managers to find out the information an organization needs to store and then determines the best format in which to record and manage it. ), 8+ years of Experience in Java Development, Strong Knowledge in Hadoop 2.0 Architecture, Experience performing data analytics on Hadoop-based platforms, Familiarity with NoSQL database platforms is a plus, Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus, Strong development discipline and adherence to best practices and standards, Transforming existing ETL logic into Hadoop Platform, Establish and enforce guidelines to ensure consistency, quality and completeness of data assets, Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred, Technical experience with HIVE, QL, HDFS, MapReduce, Apache Kafka, Python, Podium Data, Database experience with Oracle 12, SQL Server, Knowledge on Clinical domain is added advantage, Ability to work in a high-pressured, tight-deadline environment, Must work well in a team environment as well as independently, Has full technical knowledge of all phases of application/system scope definition and requirement analysis, Excellent communication and inter-personal skills, Agile and SDLC experience – at least 2+ years, Forward thinking, independent, creative, self-sufficient and go-getter; who can work with less documentation, has exposure testing complex multi-tiered integrated applications, Strong experience in Data analysis, ETL Development, Data Modeling, and Project Management with experience in Big Data and related Hadoop technologies, Ability to collaborate with peers in both, business, and technical areas, to deliver optimal business process solutions, in line with corporate priorities, Experience in developing Talend DI and Map-Reduce jobs using various components, Experience in developing Java Map-Reduce programs, HBase Java API programs, Experience developing Talend Custom Components, like tHDFSMove, tHBaseGetBatch, etc. Hortonworks HDP 2.2 and above experience is strongly preferred, Goo to have experience in Big Data Platform HBase, Good to have advanced Java Programming skills, Excellent collaboration skills and good team player, Good knowledge on Agile Methodology and the Scrum process, Delivery of high-quality work, on time and with little supervision, Be accountable for helping to create and test application solutions for business partners, Help develop strategic and project-centric prototyping, proof-of-concept (POC), and solutions across emerging platforms, 3 years of experience writing Java and JavaScript, Experience in an Agile development environment, Experience working with Hadoop; familiarity with Spark is strongly preferred, Knowledge of HBase, NOSQL and other Big Data tools helpful, At least 3 years writing Java, JavaScript, Experience with Big Data technologies, including Hadoop, MapReduce, Hbase, or Kafka, Experience with distributed computing frameworks, including Spark or Storm, Work as part of an Agile team to design and implement a platform for data collection and analysis, Maintain the production systems (Kafka, Hadoop, Cassandra, Elasticsearch), Cross the border and connect between development and operation, application and infrastructure, in terms of technical and organisational matters, Be an active team member in one of our self-empowered teams, producing software according to Agile principles, Be part of an international company, where English is the language of communication (German knowledge not required), Take ownership from design of the feature through first lines of code to how it performs in production ("You build it, you run it"), Bachelor degree in computer science, software engineering or equivalent experience, Know-how in network (DNS/TCP/IP) and Linux administration, Knowing at least one SCM tool, preferable Git, Big Data, Distributed Systems, Hadoop, Docker, Ansible (Chef / Puppet), Go (lang), Influence and/or decide on technology selection for the platform, Provide architectural insight for project goals, develop proofs-of-concept to validate various approaches and assumptions, help carry out the vision from its conception to execution, Be part of an international company, where English is the language of communication, Very good experience in Java, preferable an experience in Scala, Preferable experience in using Kafka, Spark, Elasticsearch, Cassandra, Very good written and verbal English language skills, Web Services, AWS or other cloud experience, Assist with advancing a data driven decision making culture through the adoption and usage of new tools to provide access to all types of data in a variety of platforms, Be a part of a sAFE agile scrum team that is fast pace in providing business value. ), Background in physics, statistics or mathematics, Experience with building stream-processing systems, Experience with various messaging systems, such as Kafka or RabbitMQ, Delivering new data platform enhancements principally focused on e-communication data and features including Java data pipelines, Hadoop storage objects and flows, Familiar with SQL and Linux shell scripting, Ownership of project delivery – you will manage your own projects including collaborating with our client portfolio teams and analysts, Hands-on development experience on a production implementation of Hadoop with massive data volumes and unstructured data sets, Exposure to communication surveillance functions in a dynamic and challenging industry with regular close collaboration with our surveillance portfolio clients, Developing effective code in a timely fashion, Understanding the business processes that drive the applications within the department, Ensuring code complies with internal security guidelines, 3 - 5 years' experience in Java, web services, databases (MS-SQL, Oracle, MySQL), Experiences with RESTful web services, Application Servers (JBoss, WebSphere, etc. a plus, Bachelor of Science Degree in Computer Science, Computer Engineering, or related discipline or equivalent experience, As a senior developer, work with business and technology cast members to define information needs and develop solutions that supports desired business and technical capabilities / requirements, Proactively look for opportunities to align technology as an enabler for business needs and capabilities (e.g., identify need for enterprise data warehouse, advanced analytics, etc). Knowledge of Apache Tomcat a bonus, You have architecture and development abilities in either F# or C#, You have a knowledge of Multi-threaded and asynchronous server development, Experience with memory and performance profilers, Deep understanding of standard containers and algorithms, You also posses functional programming experience, You have deep understanding of the HTTP stack on windows, and its .NET implementation, Experience with large codebases and msbuild, Ability to work in a cross cultural team with multi geographical locations, Ability to communicate (verbal and written) effectively with counterparts and vendors on technical topics, Good understanding of design and development standards, Strong communication, and collaboration skills, 2+ yeas of Big Data Related experience (Data Modeling), Hands on Development experience with Java, Understanding of best practices and standards for Hadoop application design and implementation, Working experience on Spark/Scala or Spark/Python, Working experience with Big data technologies (Sqoop, Hive, any nosql like MongoDB/Hbase/Cassandra), Good to have experience on ELK stack (Elastic search, Log stash and Kibana), Experience on implementing any Java/J2ee applications or any other programming language, Develop code both independently and while pair programming, Build meaningful unit, functional and integration level tests for the software built, Engage with other developers, product managers, and customers, Ensure coding practices are adhered to in all phases of the development lifecycle, Perform the software code creation, code compiling and testing activities, Work in a distributed and agile environment, Use a variety of ETL/ELT methods to transfer data between operational, warehouse, and data lake sources, Keep technically abreast of trends and advancements within area of specialization, incorporating these improvements where applicable, Review business needs, requirements, technical specifications, Write and maintain design, user and test documentation, Accountable for hitting quarterly objectives and key results, Bachelor's degree in Engineering, Computer Science, or Information Technology, 3+ years’ experience in software development with minimum 1 years Java experience, 2+ years working with Hadoop distribution (such as Cloudera or Horton Works or MAPR), 2+ years’ experience in wide array of tools in the Big Data domain which include: HDFS, Hadoop, Hive, Talend, Impala, Sqoop, Kafka, Hue or Spark, Kafka, Zookeeper, Cassandra, and Spark, 1+ years’ experience with reporting tools such as PowerBI, Tableau, Alteryx, or R, 1+ years’ experience in coding with a data security application layer (Cloudera Sentry a plus), Experience in software integration and software testing, Experience developing software for Windows or UNIX/Linux operating systems, Experience with Java Servlets / Java MBeans / Java Database Connectivity, Participate in technical planning & requirements gathering phases including Design, code, test, troubleshoot, and document engineering software applications, Ensuring that technical software development process is followed on the project, familiar with industry best practices for software development, Demonstrate the ability to adapt and work with team members of various experience level, End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade: Hadoop, Spark,Storm, Hive, Pig, AWS (EMR, Redshift, S3, etc.
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