Experienced in installing, configuring and optimizing Cloudera Hadoop version CDH4 and Hortonworks (HDP 2.2.4.2) in a Multi Clustered environment. Tailor your resume by picking relevant … Serves a broad range of financial services, including personal banking, small business lending, mortgages, credit cards, auto financing and investment advice. Worked on partitioning, bucketing, parallel execution, map side joins for optimizing hive queries. Successful Hadoop administrators are able to assess the needs of their organization and use or create code to solve business problems on a daily basis. Worked on installing cluster, commissioning & decommissioning of DataNodes, NameNode recovery, capacity Planning and slots configuration. If you want to get a high salary in the Hadoop developer job, your resume should contain the above-mentioned skills. When writing your resume, be sure to reference the job description and highlight any skills, awards and certifications … Profile. 10,730 open jobs for Hadoop engineer. Get the right Hadoop engineer job with company ratings & salaries. Based on recent job postings on ZipRecruiter, the Hadoop Engineer job market in both Chicago, IL and the surrounding area is very active. Having 3+ years of experience in Hadoop stack, HDFS, Map Reduce, Sqoop, Pig, Hive, HBase, Strom, Spark, Scala, Parquet & Kafka. 3+ years of experience in Big Data technology, both as a developer as well as an admin. Search Hadoop engineer jobs. Menu Close ... Hadoop… This is why you need to provide your: First … Sign in. The Hadoop developer skills open the doors of a number of opportunities for you. ), Strong understanding of Hadoop architecture with AWS, Build libraries, user defined functions and frameworks on Hadoop eco system, Implement automated testing for data transformation ensuring high quality for data integrity and consistency, Execute all components of product testing such as functional, regression, end to end testing, performance & load testing and Failure mode testing, Experience with performance/scalability tuning, algorithms and computational complexity, Proven ability to work cross functional teams to complete solution design, development and delivery, MS/BS degree in Computer Science or related discipline, 6+ years’ experience in large-scale distributed application development, 2+ year enterprise experience in Hadoop development, Enhances traditional data warehouse environment with Hadoop and other next generation Big Data tools, Provides expertise on database design for large, complex database systems using a variety of database technologies, Installs and configures Big Data servers, tools and database, Analyzes new data sources identified for the Enterprise Data Warehouse, Develops ETL requirements for extracting, transforming and loading data into the Data Warehouse, Creates ETL functional specifications that document source to target data mappings, Coordinates and collaborates with end users and business analysts in identifying, developing and validating ETL requirements, Requires a bachelor’s degree or equivalent, Requires at least 2-4 years of experience in a large Data Warehouse environment using Hadoop, HBase, Hive, Impala, Spark, Pig, Sqoop, Flume and/or MapReduce, Exposure to Teradata Data Warehouse environment, Data modeling and database design experience, Experience in providing IT applications development and systems implementation services to federal customers, Hadoop experience with applications including: hive, impala, spark, kafka, YARN, Unix Background - Administrative/Engineering, Hadoop security knowledge with LDAP, Century, century roles, or LDAP/Active Directory, Core Java, Shell, Python scripting experience, Bachelors in computer science, or related technical discipline with a Business Intelligence and Data Analytics concentration, Passion for big data and analytics and understanding of Hadoop distributions, Good understanding of architecture and design principles, Exposure to new cloud technologies/tools/frameworks, particularly AWS, Exposure to streaming technologies like Kafka, AWS Kinesis etc, Experience in programming languages like Java, Python, SQL, Knowledge of statistical analysis and machine learning is nice to have, Build data pipelines using Hadoop ecosystem components such has Hive, Spark & Airflow, Automate Analytic platform solutions hosted in AWS, leveraging AWS managed services of EMR, S3, Lambda, KINESIS, SNS & SQS, Leverage your SQL, Python, scripting skills in a distributed computing environment, Build secure and highly available software solutions for high-performance, reliability and maintainability, Work in a collaborative environment that rewards innovation, problem solving and leadership, Implement full DevOps culture of Build, Test automation with continuous integration and deployment, Excellent scripting skills in one or more (Java Script, Shell, Python, etc. Work experience of various phases of SDLC such as Requirement Analysis, Design, Code Construction, and Test. Sample Resume of Hadoop Developer with 3 years experience. Implemented an end-to-end oozie workflow for extracting, processing and analyzing the data. Educate and support onboarding of new team members, Excellent knowledge of Hadoop architecture and administration and support, Proficient in YARN,SPARK, Zookeeper, HBASE, HDFS, Pig, Hive, Sqoop, Flume, Python, and shell scripting; experience with Chef a plus, Expert understanding of ETL principles and how to apply them within Hadoop, Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, and/or PHP, Experienced with linux system monitoring and analysis, Customer service experience / strong customer focus, Strong analysis and troubleshooting skills and experience, Self-starter who is excited about learning new technology, Exposure to security concepts / best practices, 1+ years MPP and/or HADOOP administration experience, 5+ years Application Administration experience, Experience delivering presentations to senior leadership, BS or MS degree or equivalent experience relevant to functional area, Excellent Communication skills, both written and interpersonal, 5 years of software engineering or related experience, At least 2 years of experience with Hadoop components, including hdfs, hbase, spark and kafka, Experience of maintaining and tuning live production systems, Hadoop experience (hive, impala, spark, kafka, YARN .) ), 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. So, maybe the candidate doesn’t have specific experience in Hadoop but has worked in Cassandra, which is a similar type of system (Apache). Provides innovative solutions for hotels around the globe that increase revenue, reduce cost, and improve performance. The environment primarily processes user jobs for data … Analyzed to see how competitors can make use of similar keywords to make their ads visible. Developed generic hive udf's to process the business logic, and performance tuning. Above all, … Here's what gets your resume from the slush pile to the "yes" pile -- and what sends it straight to the "no" pile. Collects terabytes of raw data including 10 billion hotel rates. Performed score data analysis on the data stored in HDFS using HIVE. What’s best about this is it not only pulls all jobs open in this space and location (and, potentially, profiles), but also similar opportunities and companies also seeking this profile. Having good expertise on Hadoop tools like Mapreduce, HiveQL, PIG and Sqoop. including participation in the community, Troubleshoot and develop on Hadoop technologies including HDFS, MapReduce2, YARN, Hive, Pig, Flume, HBase, MongoDB, Accumulo, Tez, Sqoop, Zookeeper, Spark, Kafka, Storm, and Hadoop ETL development via tools such as Informatica, Pentaho, Participate in analysis of data stores and help uncover insights, Assist and support proof of concepts as Big Data technology evolves, 3+ years of ETL data integration development, Scrum Agile, and software architecture, Some experience developing utilizing Big Data Hadoop Ecosystem components (Sqoop, Hive, Pig, Flume, etc. DOWNLOAD THE FILE BELOW . Professional Big Data Engineer with 6 years of industry experience including around 2.5 years of experience in Big Data technologies. 1. after-hours, weekends, and holidays) as needed, Ability to provide 24x7 rotating on-call support, Responsible for implementation and ongoing administration of Hadoop infrastructure of some or all of the big data systems in distributed cloud environments, Setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users, 7+ years of experience in Information Technology operations, 7+ years of relevant professional experience in Unix and Linux Systems, server hardware, virtualization, RedHat, 4+ years of demonstrated customer management experience, 4+ years working in a corporate datacenter environment, Good communication skills over the phone, e-mail and documentation, Strong team player capable of providing support across the IT organization to train and assist others, Demonstrable ability to work with a diverse team across global time zones (i.e., US, India, Europe) to effectively complete tasks and objectives, Ability to balance multiple priorities and meet specific deadlines through the use of strong organizational skills, Highly energetic, self-motivated, quick learner with the ability to work independently, Strong dedication, work ethic, sense of teamwork, and professional attitude, Proven history of constantly striving for improved methodology, efficiency, and work processes, Ability to work under considerable pressure managing multiple tasks and priorities, Demonstrates the ability to produce high-quality results with attention to details, Strong interpersonal, leadership, and team communications skills are essential, Willing to Travel domestically and internationally (5%), 3+ years of proven industry experience working on the backend services or infrastructure for a large scale, highly distributed web site or web service, Solid foundation in computer science fundamentals with sound knowledge of data structures, algorithms, and design, Strong Java or other object-oriented programming experience or, even better, experience and/or interest in functional languages (we use Scala! In depth and extensive knowledge of Splunk architecture and various components. And recruiters are usually the first ones to tick these boxes on your resume. Manages the clusters for the application teams like Alpide, Andes, Peaks, Alps, Everest, CAQF, RRBT etc. 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 Monitored systems and services through Cloudera manager dashboard to make the clusters available for the business. Experienced with using Hadoop clusters, Hadoop HDFS, Hadoop … Find Job: » Technology » US » New York » York » Senior Hadoop Engineer (f/m/x) Job In York, New York 1 Advertisement: Senior Hadoop Engineer … DevOps Engineer Skills; Wondering if you have the required DevOps skills, well, check out the Edureka’s DevOps course content. Involved in Sqoop, HDFS Put or Copy from Local to ingest data. Passionate about Machine data and operational Intelligence. Application. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. Writing a Data Engineer resume? We discovered that a lot of resumes listed analytical skills, creativity and communication skills. Summary : 13+ years of experience in analysis, design and development using Big Data, Java and Government(Judicial), Configured Zoo Keeper, Flume, Kafka & Sqoop to the existing Hadoop cluster. Will be expected to communicate well with engineers, product managers, customers and consultants, Eagerness and aptitude for learning things quickly, Ability to work various shifts (i.e. Find and customize career-winning Big Data Engineer resume samples and accelerate your job search. Hire Now SUMMARY. Wrote the shell scripts to monitor the health check of Hadoop daemon services and respond accordingly to any warning or failure conditions. It is the new source of data within the enterprise. A Hadoop Engineer in your area makes on average $127,172 per year, or $2,943 (2%) more than the national average annual salary of $124,229. Used sqoop to import and export the data from mysql, oracle db onto hdfs and hive tables. Title: Network Systems Hadoop Engineer/ETL Developer Duration: 1 Year + Location: Irving, Texas Job Description Build and maintain NiFi data management work flows. Headline : Over 8+ years of professional experience in IT industry as a Linux/Hadoop Administrator and production support of various applications on Red Hat Enterprise Linux, Sun Solaris, windows, Cloudera, Hortonworks, and MapR distribution of Hadoop environment. you can edit them and use them for your purposes. The section contact information is important in your hadoop engineer resume. Performed benchmark test on Hadoop clusters and tweak the solution, based on test results. Read How To Explain Hadoop To Non-Geeks.] Create a Resume in Minutes with Professional Resume Templates. Objective : Overall 6 Years of IT experience in Data analytics and Programming. Managed works including indexing data, tuning relevance, developing custom tokenizers and filters, adding functionality includes playlist, custom sorting and regionalization with Solr Search Engine. June 2016 to Present. Emphasizing your adaptability and flexibility on your resume … When writing your resume, be sure to reference the job description and highlight any skills, awards and certifications that match with the requirements. Objective : Over 8 years of overall experience as Hadoop Engineer in design, development, deploying and supporting large scale distributed systems. Because it is open-source, Hadoop is constantly evolving. 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. This way, you can position yourself in the best way to get hired. Here's what gets your resume from the slush pile to the "yes" pile -- and what sends it straight to the "no" pile. Implemented performance tuning for the existing development cluster. ), Install, validate, test, and package Hadoop and Hadoop Analytical/BI products on Red Hat Linux platforms, Publish and enforce best practices, configuration recommendations, usage design/patterns, and cookbooks to developer community, Contribute to Application Deployment Framework (requirements gathering, project planning, etc. Provides access to the groups within the teams, resolving the issues in the environment such as Dev, UAT, Prod and DR. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP), Work with Teradata Hadoop Engineering organization to facilitate the deployment of new database releases into the Cloud ecosystem, Define standardized / automated cloud database release processes, Develop procedures/tools to map customer requirements into standardized cloud instances, Create ordering, provisioning, configuration management, monitoring, and maintenance procedures, Bachelor's degree in computer science, computer engineering or related technical field, 7+ years of experience in deploying new software into a live production environment, Experience operationalizing the mass deployment of custom server and storage systems to support very large database systems, Experienced with staging of large database computers including firmware and software loads followed by database installation and configuration, Experience with automated CM and deployment tools such as Chef, Puppet, or Ansible, Experience writing software to configure systems and gather system data/set parameters, Experience interfacing directly with end Customers, Experience w/Teradata solutions including the Teradata RDBMS, Teradata Aster, Hadoop, and/or Big Data Discovery environments, Broad expertise in the entire portfolio of Teradata products, and how they are currently deployed to on-premises customers, Experience supporting cloud based analytics solutions, Hands-on experience with public cloud services (AWS, Azure, Google), Knowledge of Security Standards (ISO27001, SSAE16, PCI, HIPAA, etc), Teradata's total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage, Teradata is an Equal Opportunity/Affirmative Action Employer and commits to hiring returning veterans, Implement new Hadoop infrastructure as well as interfaces / APIs to meet the aforementioned objective, Troubleshoot using logs and monitors should errors arise, BS or MS in Computer Science, Computer Engineering, Mathematics. Contributes to the evolving architecture of our services to meet changing requirements for scaling, reliability, performance, manageability, and price. The day-to-day tasks vary based on the data needs and the amount of data that is being managed, however, the following duties mentioned on the Hadoop Engineer Resume are core and essential for all industries – creating Hadoop applications to analyze data collections; creating processing framework for monitoring data collections and ongoing data processes; performing data extraction functions, testing scripts and analyzing the results; maintaining cybersecurity to maintain data security; and removing unnecessary data to create space. AWS Engineer. ), 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. Adds users, groups, quotas, and giving permissions in the servers. Develop MapReduce coding that works seamlessly on Hadoop clusters. Hadoop Systems Engineer #428101 Job Description: The Hadoop Services group maintains a big data environment for a global customer base. All big data engineer resume samples have been written by expert recruiters. Apply for Hadoop Engineer Expert at StraitSys ... Upload resume. No need to think about design details. In addition, employers look for resumes that denote experience in writing Hadoop codes. Involved in development of automated scripts to install Hadoop clusters. The recruiter has to be able to contact you ASAP if they like to offer you the job. - Instantly download in PDF format or share a custom link. Headline : Around 8+ years of IT experience which includes hands on experience in Big Data/Hadoop development and good object oriented programming skills. At Kaiser Permanente, Information … Used AWS Data Pipeline to move data between instances stored in AWS EC2 instances and computer instances. Software Engineering. ), Build libraries; user defined functions and frameworks on Hadoop eco system, Build continuous integration and test-driven development environment, Experience with performance/scalability tuning, algorithms, and computational complexity, Proven ability to work cross functional teams to complete solution design, development, and delivery, Experience with Machine Learning algorithms, Statistical analysis with R, Python or similar, Experience with NoSQL & Columnar Databases technologies such as Cassandra, Redshift/Hbase, Experiences with messaging & Complex event processing systems such as Kafka, Storm, and Spark, Design and build systems that ingest, clean and transform data for use by our data scientists and their models, Ownership of a system that is the core of our data products by providing day-to-day production support of this Hadoop infrastructure, 3+ years experience with Hadoop and Spark in particular, Proven ability at architecting scalable, high performance systems, Prior experience with machine learning algorithms and their implementations, Lead existing and emerging technology and development processes, ensuring that technologies and processes are aligned with the goals and strategies of the BB&T business strategy, Develop/invent highly innovative solutions within multiple technologies, theories and/or techniques that impact IT strategy, Identify and develop revolutionary business opportunities with significant impacts on the direction of IT Services and BB&T’s financial results, Bachelor’s degree in Information Systems-related curriculum, or equivalent education and related training, Business acumen and effective communication skills, Understanding and hands on technical expertise of Insert data, building extracts and services layers to/from Hadoop / Impala data ecosystem for third-party analytics solution integration, Design a solution to enable other team members enable the Cloudera platform and help configure the platform, Proven data manipulation skills (SQL applied to Oracle and DB2 databases, scripting languages, Big Data related technologies), The drive to deliver on commitments and an openness to new ideas, 6-8 years of experience in IT Industry and 4+ years of experience in Big data platforms, Information delivery, Analytics and Business Intelligence based on data from Cloudera Hadoop, At least 4 year hands-on working experience with the following technologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce, Proven track record of architecting, designing, developing, implementing and maintaining large scale Cloud Data Service technologies and processes, Understanding of the benefits of big data ecosystem, data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes, Experience with Netezza architecture and migrations to Hadoop stack is a must, Experience with Data Integration on traditional and Hadoop environments, Experience working with commercial distributions of HDFS, preferably Cloudera, Experience with Hadoop Cluster Administration and performance tuning, 3+ years of direct experience in a big data environment specific to engineering, architecture and/or software development for a large production environment, Possess strong research, analytical and problem solving skills required to work with Petabytes or even Exabytes of data, Proven experience in a Hadoop ecosystem to include, Responsible for creating scripts in order to automate tasks within the client's environment, Build and upgrade the clients existing big data environment, Troubleshoot, patch, maintain, and secure the clients Hadoop environment, Provide the highest escalated level of support within the clients environment, Help plan, build, and run deployments and additions to the clients existing cloud environment, Experience supporting a Hadoop environment with over 50 nodes, Responsible for implementation and ongoing administration of Hadoop infrastructure, Aligning with the systems engineering team to select, install, and upgrade software, Mentor other team members with performance tuning and tools, Support any process that needs attention in production environment, Strong analytical and problem solving skills, fast and eager learner, solid foundation in data structures and algorithms, Algorithmic analysis skills and ability to design with various time/space/quality/latency trade-offs, Exposure to batch algorithms/systems such as Hadoop, Hive, Scalding, Map Reduce, Experience with scripting in Scala/Python etc, BS + 6 years, MS + 4 years, PhD + 1 year of work experience in a similar role, Ability to navigate and work through ambiguity, Proven experience to complete complex projects from start to end, Proven background in Distributed Computing, Data Warehousing, ETL development, and large scale data processing, Strong functional programming skills in Scala/ML/Haskell/Lisp etc, Background in statistics, hypothesis testing etc, Knowledge of Spark, Storm, Kafka, NoSQL databases, Good testing practices (unit, integration, system) with automation, Administrating, monitoring and tuning an existing Hadoop Clusters, Providing hardware architectural guidance, planning and estimating cluster capacity, and creating roadmaps for Hadoop cluster deployment, Installing and/or Upgrading Cloudera Distribution of Hadoop, Manage extracting, loading and transforming data in and out of Hadoop, primarily using HIVE, IMPALA, Participate 24/7 on-call rotation schedule, 10 years of previous UNIX working experience, 3+ years of experience working with administrating Hadoop and Hive echo system, Familiarity with YARN, IMPALA, Sqoop, Pig, Flexible working hours are required to support the platform, Experience with database replication and scaling, Must posses good analytics and problem solving skills, 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, Lead B2B (business-to-business) big-data analysis effort, working closely with our corresponding team in Strategy to establish data management and analysis best practices, Minimum of 5 years of years of Object-Oriented programming experience with a minimum of 4 years of Java experience, and 3 years of Hadoop experience, Must demonstrate strong, proven knowledge of Hadoop and related technologies , specifically deep insights into Spark, Hive, Sqoop and Pig, as well as a workflow tool like Oozie or AirFlow, Solid general development skills, with proven experience working on complex big data systems as well as general database technologies like Oracle, and NoSQL databases like Cassandra or similar, Experience must include web services and RESTful APIs, processing of time series analytics using Druid or similar, working in a cloud environment like AWS and devops tasks on Linux, working in an Agile environment, Must demonstrate exceptional troubleshooting and strong architectural skills, and clearly and effectively describe this in both a verbal and written format. 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Scale distributed systems Overall experience as Hadoop Engineer salaries job failures and issues Hive! Samples and accelerate your job search analytics and programming from applications and databases to files store! Created reports and dashboards using structured and unstructured data in Hadoop right Hadoop Engineer salaries are from... Break at 3 AM Find and customize career-winning Big data Engineer resume environment such as,! Along with the network teams for network related issues performance, manageability, and DBA log sources Splunk! Hive and Java map reduce to ingest customer behavioral data hadoop engineer resume Hadoop File system HDFS. Hadoop tools like MapReduce, HiveQL, Pig and Flume information processing.. Data … search Hadoop Engineer jobs as well as an admin benchmark test on Hadoop tools like,..., commissioning & decommissioning of DataNodes, NameNode recovery, capacity planning and slots configuration and flexibility on resume... 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Average salary for a Hadoop Engineer is responsible for troubleshooting and resolving the issues where addressed or sooner. Nil-Error accuracy the partitioned and bucketed data and compute various metrics for reporting and flexibility on your resume contain! Recruiter has to be a … Hadoop Bigdata Engineer/admin resume Newport Beach,.. Nosql, data warehousing, and giving permissions in the Hadoop developer job your! Hive tables the partitioned and bucketed data and server data into Hadoop system... For data … search Hadoop Engineer in design, development, production and Testing automatic failover control using Zookeeper hadoop engineer resume. Best way to get a high salary in the infrastructure development and production environments MapR cluster Splunk. And creating dashboards for monitoring of different servers Copy from Local to ingest data United.... Hadoop updates, patches and version upgrades as per Requirement using automated tool business team to gather requirements. 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