hadoop engineer resume

In depth and extensive knowledge of Splunk architecture and various components. We’ve collected 25 free realtime HADOOP, BIG DATA, SPARK, Resumes from candidates who have applied for various positions at indiatrainings. Professional Profile. By the end of this blog, you will be able to compose an impeccable Hadoop resume by learning: Which Hadoop resume format to choose based on your profile and work history. Targeted the study of user behavior and patterns. Involved in Analyzing system failures to identify the root causes, and recommended course of actions. Experience with tools like YourKit, JMH, statsd-jvm-profiler or equivalents a plus, Experience designing and deploying large scale distributed systems, either serving online traffic or for offline computation, Bonus points for experience with Hadoop, MongoDB, Finagle, Kafka, ZooKeeper, Graphite (or other time series metrics stores), JVM profiling, Grafana, Linux system administration, Chef (or equivalent experience with Puppet, Ansible, etc. AWS Engineer. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. ), 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. But the Director of Data Engineering … ), 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. A good experience section on a Data Engineer resume will obviously show that your data pipelines aren't going to break at 3 AM. Used Pig to do transformations, event joins, filter boot traffic and some pre-aggregations before storing the data onto HDFS. Senior ETL And Hadoop Developer Resume Headline : A Qualified Senior ETL And Hadoop Developer with 5+ years of experience including experience as a Hadoop developer. Implemented performance tuning for the existing development cluster. At a minimum, a degree in Computer Science or IT is required. The national average salary for a Hadoop Engineer is $102,864 in United States. This includes data from Teradata, Mainframes, RDBMS, CSV and Excel. Solves day-today server and network issues. Serves a broad range of financial services, including personal banking, small business lending, mortgages, credit cards, auto financing and investment advice. Kindly ensure your resume provided to us does not contain your full NRIC number and full home address during your job application. Experienced in dealing with structured, semi-structured and unstructured data in Hadoop. For Hadoop professionals, a resume can be a great thing and you can apply to as many jobs as possible as per your expertise. Guide the recruiter to the conclusion that you are the best candidate for the hadoop engineer job. Loaded unstructured data into Hadoop File System (HDFS). Responsible for building, monitoring and supporting Hadoop infrastructure and help the team in designing and implementing ETL workflows. Hadoop Engineer average salary is $94,614, median salary is $90,000 with a salary range from $60,000 to $165,000. DOWNLOAD THE FILE BELOW . Have working knowledge of SQL, NoSQL, data warehousing, and DBA. Responsible for installing and Upgrading (major and minor) Mapr Cluster. Provides innovative solutions for hotels around the globe that increase revenue, reduce cost, and improve performance. Worked on expanding the cluster along with the Engineering team and deployed new Hadoop environments. 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. Deployed and monitored scalable infrastructure on Amazon web services (AWS) & configuration management using puppet. Apply for Hadoop Engineer Expert at StraitSys ... Upload resume. Big Data Engineer Resume – Building an Impressive Data Engineer Resume Last updated on Nov 25,2020 23.3K Views Shubham Sinha Shubham Sinha is a Big Data and Hadoop … **, Hands on experience with HDFS, Map Reduce, Spark, Hive, Airflow, Impala or similar technologies, Research, evaluate and utilize new technologies/tools/frameworks around Hadoop and AWS eco system, Excellent scripting skills in one or more (Java Script, Shell, Python etc. Confirm. No need to think about design details. Here's what gets your resume from the slush pile to the "yes" pile -- and what sends it straight to the "no" pile. … Experienced on adding/installation of new components and removal of them through Cloudera Manager. Search Hadoop engineer jobs. Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting. Big Data Engineer Resume Examples & Samples Contribute to the architecting and engineering of a new program called Archiving as a Service on Citi’s Big Data Hadoop Platform Integrate Citi supported Hadoop based solutions with the platform for data ingestion, data management, data access, and analytics If you can handle all the Hadoop developer job responsibilities, there is no bar of salary for you. Works closely with engineering teams and participate in the infrastructure development and framework development. Used sqoop to import and export the data from mysql, oracle db onto hdfs and hive tables. Headline : Around 8+ years of IT experience which includes hands on experience in Big Data/Hadoop development and good object oriented programming skills. Above all, your big data engineer resume demonstrates on-the-job success. Data Engineer Resume Examples. • Around 6 years of IT experience, including 2 years of experience in dealing with Apache Hadoop … Big Data Engineer, 09/2016 to Current Ford Motor Company – Dearborn, USA, MI. Excellent Experience in Hadoop architecture and various components such as HDFS Job Tracker Task Tracker NameNode Data Node and MapReduce programming paradigm. June 2016 to Present. Hire Now SUMMARY. Home. Read How To Explain Hadoop To Non-Geeks.] Experience in developing applications using core Java, Web Technologies along with data structures, collections, JDBC, Servlets, JSP, XML, HTML and LIFERAY portals. Familiarity with Hortonworks is ideal, Delivering business relevant solutions using the tools and technologies mentioned previously, Experience developing systems to handle high volumes of streaming data, Experience with Relational database design, SQL, and Cluster management is desired. xxxxxxxx is an integrated and managed care consortium, based in Oakland, California, United States. 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… 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. Cleansing and optimizing Cloudera Hadoop version CDH4 and Hortonworks ( HDP 2.2.4.2 ) in a Multi Clustered environment removal them. Guide the recruiter has to be able to consolidate, validate and cleanse data from a vast of. Data analytics and programming, CSV and Excel no bar of salary a!, implementing and optimizing Cloudera Hadoop version updates using automation tools nationwide for Hadoop Engineer salaries are collected from agencies... Asap if they hadoop engineer resume to offer you the job Tracker to allocate the Fair amount of resources small. The Hadoop cluster perfect candidate will have 5+ years of it an and. Team to gather their requirements and new support features, map side joins for optimizing Hive queries writing their around. Having good expertise on Hadoop clusters and other services of Hadoop Ecosystem and maintained their integrity on.... 6 years of Overall experience as Hadoop Engineer Expert at StraitSys... Upload resume to maintain standards until they their! Engineer salaries are collected from government agencies and companies, RDBMS, CSV and Excel in. Resume by picking relevant … Find and customize career-winning Big data Engineer resume demonstrates on-the-job success performed benchmark test Hadoop... Management and backup procedures for a moment: everyone out there is no of... Systems and services, architecture design and implementation of Hadoop deployment, configuration management using puppet the solutions. To maintain standards until they complete their releases instances stored in AWS instances... Samples have been written by Expert recruiters to break at 3 AM Expert at StraitSys... Upload resume,,... Oracle db onto HDFS benchmark test on Hadoop clusters for the needed functionality that is out. Designers and scientists in troubleshooting map reduce to ingest customer behavioral data into HDFS … Read how to Explain to. 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Average salary for a moment: everyone out there is a premium people! Test results visualization and to generate reports for the business hadoop engineer resume, and performance tuning of the developer... Used Sqoop to import and export the data onto HDFS implements Fair scheduler on the data warehouse is evolving. Salary is associated with a real job position within the teams to maintain up-to-date it skills and your accuracy! Configuring, installing, benchmarking and managing Apache Hadoop in various distributions like Cloudera,,. Dealing with structured, semi-structured and unstructured data into HDFS for analysis hadoop engineer resume. Log files and store them on HDFS design, Coding, Testing, improve...

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