), At least 1 year of experience in one of the following areas, Lead designing, building, installing, configuring applications that lend themselves to a continuous integration environment, Lead analysis of data stores and uncover insights, Experience in developing for high performance and large Hadoop clusters, Strong understanding of Hadoop architecture, storage and IO subsystems, network and distributed systems, Expert scripting with shell scripting (Bash, PHP, PERL, Python, etc. Objective : Hadoop Engineer will be responsible for evaluating and performing detailed engineering activities supporting the design, development, and optimization of the data interconnection in a wireless network. DOWNLOAD THE FILE BELOW . Confirm. In depth and extensive knowledge of Splunk architecture and various components. At Kaiser Permanente, Information … Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting. Implemented an end-to-end oozie workflow for extracting, processing and analyzing the data. Linux/Unix and scripting languages like Bash, Python, etc., Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B, Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. overview • 3 years of experience in software development life cycle design, development, ... • Worked with systems engineering team to plan and deploy new hadoop environments and expand existing hadoop clusters. Created pig latin scripts to extract from log files and store them on hdfs. In addition, employers look for resumes that denote experience in writing Hadoop codes. 7+ years of experienceLeading Software Engineer with geo-dispersed teams 5+ years of experienceLeading System Resiliency Engineering with large multi-tenant, highly resilientplatforms 3+ years of experienceproviding enterprise development and support for a large Hadoop/MapRenvironment Targeted the study of user behavior and patterns. With the location specific search, you can look for Hadoop jobs in India, Hadoop … Headed Proof-of-Concepts (POC) on Splunk implementation, mentored and guided other team members on Understanding the use case of Splunk. - Select from thousands of pre-written bullet points. ), Evaluate capacity for new application on-boarding into a large scale Hadoop cluster, Provide Hadoop SME and Level-3 technical support for troubleshooting, Experience using/installing/supporting Hadoop components such as HDFS, MapReduce, Hive, HBase, Pig, Sqoop, Flume, Datameer, Platfora, etc, Experience installing, troubleshooting, and tuning systems. Edureka also provides a self-paced course called ‘Java essentials for Hadoop’ which will help you gain the necessary Java knowledge before joining the Hadoop … Strong Python (preferred) and/or Java / C++ skills, 5 year of experience working with complex software in a parallel processing environment gained through a combination of academic studies and work experience, Experience deploying and troubleshooting complex distributed systems, Excellent interpersonal skills. Company … Provides access to the groups within the teams, resolving the issues in the environment such as Dev, UAT, Prod and DR. Developed Map-Reduce jobs for Log Analysis and Analytics. Collected the logs data from web servers and integrated in to HDFS using Flume. A good experience section on a Data Engineer resume will obviously show that your data pipelines aren't going to break at 3 AM. and manage MapReduce jobs, Leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance, Build strong partnerships with senior management to drive development of BB&T’s strategy across IT and other functions, Develop and execute plans for complex systems backed by excellence, confidence, and thorough engineering analysis, Develop and execute plans for complex systems backed by excellence, confidence, and thorough engineering analysis; and, Work closely with the vendor, Cloudera, to make sure the environment is running properly, This support would include filesystem management and monitoring, cluster monitoring and management and automating / scripting backups and restores, Perform security and compliance assessment, Ability to establish strong relationships with the corresponding technical community, Ability to serve as a visionary concerning future technological capabilities and operational scenarios; ability to create new business models and technologies, Demonstrated proficiency in basic computer applications, such as Microsoft Office software products, Design, install, and maintain highly available systems (including monitoring, security, backup, and performance tuning), Cloudera Certified Professional Certification, Has excellent oral and written communication skills, Good analytical and problem solving skills, Design Hadoop and Hadoop Analytical/BI Tools deployment architectures (with features such as high availability, scalability, process isolation, load-balancing, workload scheduling, etc. Find and customize career-winning Big Data Engineer resume samples and accelerate your job search. This includes data from Teradata, Mainframes, RDBMS, CSV and Excel. The Guide To Resume Tailoring Guide the recruiter to the conclusion that you are the best candidate for the devops engineer job. Data Engineers help firms improve the efficiency of their information processing systems. Explored and used Hadoop ecosystem features and architectures. Writing a great Hadoop Developer resume is an important step in your job search journey. Data Engineer Resume Examples. Implements Fair scheduler on the job tracker to allocate the fair amount of resources to small jobs. Developed generic hive udf's to process the business logic, and performance tuning. 1-3 years of experience working on the Hadoop platform. ), Experience with RDBMS technologies and SQL language; Oracle and MySQL highly preferred, Hands on experience with open source management tools (Pig, Hive, Flume, Thrift API, etc.) ), Familiarity with JVM profiling and GC tuning. Responsible for troubleshooting and resolving the issues related to performance of Hadoop cluster. 860-***-**** adfabw@r.postjobfree.com. ), Experience with RDBMS technologies and SQL language; Teradata and Oracle highly preferred, Data modeling (Entity-Relational-Diagram), Understanding of high performance and large Hadoop clusters, Experience managing and developing utilizing open source technologies and libraries, Experience with Java Virtual Machines (JVM) and multithreaded processing, Experience with versioning, change control, problem management and troubleshooting, Lead a team of highly motivated data integration engineers, Provide technical advisory and expertise on Analytics subject matter, Create, implement and execute the roadmap for providing Analytics insight and Machine Learning, Identify useful technology that can be used to fulfill user story requirements from an Analytics perspective, Experiment with new technology as an ongoing proof of concept, Architect and develop data integration pipelines using a combination of stream and batch processing techniques, Integrate multiple data sources using Extraction, Transformation and Loading (ETL), Build data lake and data marts using HDFS, NoSQL and Relational databases, Manage multiple Big Data clusters and data storage in the cloud, Collect and process event data from multiple application sources with both internal Elsevier and external vendor products, Understand data science and work directly with data scientists and machine learning engineers, 8+ years experience in software programming using Java, JavaScript Spring, SQL, etc, 3+ years experience in service integration using REST, SOAP, RPC, etc, 3+ years experience in Data Management, Data Modeling, Python, Scala or any semi-functional programming preferred, Excellent SQL skills from different range levels of ANSI compliancy, Advanced knowledge of Systems and Service Architecture, Advanced knowledge of Polyglot Persistence and use of RDBMS, In-Memory Key/Value stores, BigTable databases and Distributed File Systems such as HDFS and Amazon S3, Industry experience working with large scale stream processing, batch processing and data mining, Extensive knowledge of the Hadoop ecosystem and its components such as HDFS, Kafka, Spark, Flume, Oozie, HBase, Hive, Experience with at least one of the Hadoop distributions such as Cloudera, Hortonworks, MapR or Pivotal, Experience with Cloud services such as AWS or Azure, Experience with Linux/UNIX systems and the best practices for deploying applications to Hadoop from those environments, Advanced knowledge of ETL/Data Routing and understanding of tools such as NiFi, Kinesis, etc, Good understanding of DevOps, SDLC and Agile methodology, Software/Infrastructure Diagrams such as Sequence, UML, Data Flows, Requirements Analysis, Planning, Problem Solving, Strategic Planning, Excellent Verbal Communication, Self-Motivated with Initiative, Education business domain knowledge preferred, Contributing member of a high-performing, agile team focused on next generation data & analytic technologies, Provide senior level technical consulting to create and enhance analytic platforms & tools that enables state of the art, next generation Big Data capabilities to analytic users and applications, Engineering and integrating Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, Provide senior level technical consulting to application development teams during application design and development for highly complex and critical data projects, Code and integrate open source solutions into the data-analytic ecosystem, Develop fast prototype solutions by integrating various open source components, Be part of teams delivering all data projects including migration to new data technologies for unstructured, streaming and high volume data, Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm and Kafka, Utilizing programming languages like Java, Spark, Python and NoSQL databases like Cassandra, Developing data management and governance tools on an open source framework, Hands on experience leading delivery through Agile methodologies, Experience developing software solutions to build out capabilities on a Big Data and other Enterprise Data Platforms, 2+ year Experience with the various tools & frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, , NIFI, Python, Hive, Tableau, MapReduce, YARN, Pig, Hbase, NoSQL), Experience developing data solutions on AWS, Experience designing, developing, and implementing ETL and relational database systems, Experience working with automated build and continuous integration systems (Chef, Jenkins, Docker), Experience with Linux including basic commands, shell scripting and solution engineering, Experience with data mining, machine learning, statistical modeling tools or underlying algorithms, Basic analytical and creative problem solving skills for creation and testing of software systems, Basic communication skills to provide systems diagnoses and resolution for current systems, Basic interpersonal skills to interact with customers, senior level personnel, and team members, Support application monitoring data system handling the reporting built in Platfora (existing) as well as working on the new architecture for migration, Competent with Hive table creation, loading, and querying as well as newer technologies such as Spark and Jethro and be able to ingest data into Hadoop to multiple areas within the ecosystem such as HDFS, Work with the business on developing new reporting outside of Platfora within Tableau or some other reporting tool available while developing a new architecture that would adhere to the performance requirements, Bachelor's Degree (or higher) or High School Diploma/GED with 5+ years of database design architecture experience, 5+ years of database design architecture experience, 5+ years of extract/transform/load (ETL) engineering & design experience, 1+ years of Hadoop core technologies (HDFS, Hive, YARN) experience, 1+ years of Hadoop ETL technologies (Sqoop/Sqoop2) experience, Familiarity with Linux server management and shell scripting, Excellent Linux skills and have hands-on experience administering an on-premise Hadoop cluster (master & worker nodes), Expertise with Red Hat Linux installation/management/administration, Expertise with Hadoop Cluster administration and management, Knowledge of SQL/Impala, Database Design and ETL skills, Extensive experience with Java, and the willingness to learn new technologies. It will also show that your abilities are going to help Data Science and Engineering teams work more efficiently. DOWNLOAD THE FILE BELOW . Make your resume highlight the required core skills: Every designation that you will come across on … Based on recent job postings on ZipRecruiter, the Hadoop Engineer job market in both Chicago, IL and the surrounding area is very active. Work experience of various phases of SDLC such as Requirement Analysis, Design, Code Construction, and Test. Helps the teams to maintain standards until they complete their releases. Here's a Hadoop developer engineer resume sample showcasing the perfect key skills section: Conclude your Hadoop developer resume with an impeccable summary [Back to Table of Content] The summary section has the potential to make or break your chances of getting shortlisted. HADOOP DATA ENGINEER. Involved in collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis. Develop MapReduce coding that works seamlessly on Hadoop clusters. Passionate about Machine data and operational Intelligence. Filter by location to see Hadoop Engineer salaries in your area. The perfect candidate will have 5+ years of IT experience with 3+ as a Data engineer. Installs, configures and deploys Hadoop cluster for development, production and testing. Data Engineers help firms improve the efficiency of their information processing systems. Back Continue. Enabled business reporting and outbound feeds. Manages several Hadoop clusters and other services of Hadoop Ecosystem in development and production environments. Read How To Explain Hadoop To Non-Geeks.] Involved in Sqoop, HDFS Put or Copy from Local to ingest data. Each salary is associated with a real job position. Worked on partitioning, bucketing, parallel execution, map side joins for optimizing hive queries. We’ve collected 25 free realtime HADOOP, BIG DATA, SPARK, Resumes from candidates who have applied for various positions at indiatrainings. Since you have previous experience as a network engineer, you can opt for Edureka’s Big Data and Hadoop course, for which the prerequisite is basic Core Java understanding. • Around 6 years of IT experience, including 2 years of experience in dealing with Apache Hadoop … The Hadoop developer skills open the doors of a number of opportunities for you. ranks number 1 out of 50 states nationwide for Hadoop Engineer salaries. It will only be fair if I show you a couple of DevOps engineer job descriptions before I explain how a DevOps Engineer resume looks like. Yes: Strong object-oriented programming experience in dynamic languages "Hadoop is Java based, so strong Java experience is a huge indicator of a strong Hadoop engineer… Software Engineering. DevOps Engineer Skills; Wondering if you have the required DevOps skills, well, check out the Edureka’s DevOps course content. Exported the analyzed data to the relational databases using SQOOP for visualization and to generate reports for the BI team. … ), Aurora (or other cluster management frameworks like Marathon or Kubernetes), Comfortable in a small and fast-paced startup environment, Bachelors Degree or higher in Computer Science, Electrical Engineering or related field, Participate in the enterprise infrastructure vision and strategy, Focused on service reliability and sustainability, Technology experience required; Hive, Hbase, Sqoop, Ranger, zookeeper, NIFI, Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, In depth experience with one of the major Hadoop distributions, 5-10 years’ experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing, Bachelors degree in Computer Science, technical field, or equivalent experience, Production support responsibilities include maximizing system availability, ensuring swift and complete database recovery, optimizing database and availability through ongoing maintenance, and ensure conformance to audit and operating standards, Participate in the evaluation, and recommendation of appropriate hardware and software resources, Conduct interviews for recruitment of full-time and consulting positions as required, Uphold enterprise policy guidelines and recommend new and improved guidelines to ensure compatibility and better service for end-users, Performing capacity monitoring and short and long-term capacity planning in collaboration with development resources, system administrators and system architects, Maintaining security according to best practices and generating security solutions that balance auditor requirements with user requirements, Participating in 24x7 on call rotation and customer service experience, Implement DR strategy for Hadoop Distributions collaborating with storage and Unix teams, Identifying and initiating resolutions to user problems/concerns associated with big data functionality (hardware and software), Staying abreast of the most current release of MPP technology (Netezza) and HADOOP (major distributions), including compatibility issues with operating systems, new functionalities and utilities, Provide Administration support on Datameer, Assist in Capacity Planning and Security Implementation, Consult with users, determine requirements and make design recommendations. Emphasizing your adaptability and flexibility on your resume … Just like other software engineers, a Hadoop Engineer is responsible for managing and developing codes and programming Hadoop applications. June 2016 to Present. Worked closely with business team to gather their requirements and new support features. Outstanding communication skills, dedicated to maintain up-to-date IT skills and industry knowledge. While no formal educational background is required, the ideal candidate's sample resume shows at least two years of experience working as a programmer. We’ve collected 25 free realtime HADOOP, BIG DATA, SPARK, Resumes from candidates who have applied for various positions at indiatrainings. Profile. Worked on expanding the cluster along with the Engineering team and deployed new Hadoop environments. Writing a Data Engineer resume? Big … Experience in developing applications using core Java, Web Technologies along with data structures, collections, JDBC, Servlets, JSP, XML, HTML and LIFERAY portals. Involved in Analyzing system failures to identify the root causes, and recommended course of actions. It’s actually very simple. Based on recent job postings on ZipRecruiter, the Hadoop Engineer job market in both Chicago, IL and the surrounding area is very active. Experience with other object-oriented languages will be considered, but our code is Java so you should be able to get up-to-speed on at least one of them quickly), The Hadoop eco-systems and/or other such technologies (examples include Hive, Pig, MapReduce, HDFS, HBase, Accumulo, Cassandra, Kafka, Storm and Spark). Read How To Explain Hadoop To Non-Geeks.] Hadoop Engineer Expert. When it comes to the most important skills required to be a hadoop developer, we found that a lot of resumes listed 5.6% of hadoop developers included java, while 5.5% of resumes included hdfs, and 5.3% of resumes … Below is sample resume screenshot . Menu Close ... Hadoop… It is the new source of data within the enterprise. Having good expertise on Hadoop tools like Mapreduce, HiveQL, PIG and Sqoop. Here's what gets your resume from the slush pile to the "yes" pile -- and what sends it straight to the "no" pile. Be an expert in newer concepts like Apache … Developed data pipeline using Shell scripting, HAWQ, Hive and Java map reduce to ingest customer behavioral data into HDFS for analysis. This is why you need to provide your: First … (Apache Hadoop, Hortonworks and Cloudera distributions) Built large-scale data processing pipelines and data storage platforms using open-source big data technologies. Hadoop Systems Engineer #428101 Job Description: The Hadoop Services group maintains a big data environment for a global customer base. Here's what gets your resume from the slush pile to the "yes" pile -- and what sends it straight to the "no" pile. • Excellent understanding of Hadoop Architecture and underlying Hadoop framework including Storage Management. Summary : Hadoop Engineer is to maintain the integrity of all building systems by operating the building in an efficient manner while performing a variety of tenant services. Hadoop Engineer average salary is $94,614, median salary is $90,000 with a salary range from $60,000 to $165,000. Bachelor Of Engineering In Electronics And Communication Engineering, How to write Experience Section in Engineering Resume, Action Verbs to use in Engineering Resume, How to present Skills Section in Engineering Resume, How to write Education Section in Engineering Resume. 3+ years of experience in Big Data technology, both as a developer as well as an admin. To deliver optimal user experience with today ’ s technology works hadoop engineer resume POCs R. Automation tools and E2E life cycle of software design process government agencies and.... In Sqoop, HDFS Put or Copy from Local to ingest customer data... Provides innovative solutions for hotels around the tools and technologies for the Hadoop developer job responsibilities, there is bar! Denote experience in Hadoop architecture and various components of Hadoop daemon services and accordingly! Full home address during your job search DDLs to create, alter and drop.. 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