Reverse chronological resume format is the ideal format for most professionals. Check out Hadoop Developer Sample Resumes - Free & Easy to Edit | Get Noticed by Top Employers! A perfect resume should include indispensable information about you including your contact information, educational attainment, and professional experience, among others. Resume update in the future: It is now also infinitely easier to update your Hadoop resume in the future as you don’t need to explicitly look for information. 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. To make sure that your Hadoop resume is organized and formatted perfectly, draft the following carefully designed sections. Example 2 makes your resume more visible as it draws the recruiter's attention to your key achievements & responsibilities. Augmented data processing and storage throughput via Hadoop framework across a. key value store, graph db, document db), 2+ years of solid experience in performance tuning, Shell/perl/python scripting, Experience with integration of data from multiple data sources, Knowledge of various ETL techniques and frameworks, 3+ years of experience in Project life cycle activities on development and maintenance projects, Ability to work in team in diverse/ multiple stakeholder environments, Experience and desire to work in a Global delivery environment, Cloudera Manager - deploy, upgrade, operate, HDFS Data Management - raw, parquet, avro, sequence filetyes and administration, BDR - data replication, snapshot administration, Sqoop / Sqoop2 / Flume / Kafka / Teradata connector for Hadoop (Sqoop) administration, YARN resource management tuning to support workloads, Operational Service Management reporting on Coudera platform operations, Hadoop troubleshooting / incident & problem management, Data warehouse experience (eg Teradata, Greenplum), Visualisation tools (e.g COGNOS, SAS VA), Experience in managing cloud/datacentre infrastructure (eg. Look at the optional sections below and only add them in your resume if they apply to you: Read Hiration's 2020 Guide to sections in a resume for a better understanding of this topic. (Job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and Map Reduce access for the new users, Point of contact for vendor escalation; be available for 24*7 On Call support, Participate in new data product or new technology evaluation; manage certification process, Evaluate and implement new initiatives on technology and process improvements, Interact with Security Engineering to design solutions, tools, testing and validation for controls, Candidate will have 3 to 4 year experience with Hadoop data stores/cluster administration and 5 to 8 years relational database experience preferable with Oracle/SQL Server DBA experience, Strong Hadoop cluster administration expertise; Understanding of internals, Excellent performance and tuning skills of large workload inside Hadoop cluster, Strong Partitioning knowledge ( data sharding concepts), Experience in upgrading Cloudera Hadoop distributions, Experience in performance tuning and troubleshooting - drill down approach with O/S, database and application - End to End Application connectivity, Familiarity with NoSQL data stores (MongoDB / Cassandra/HBase), Familiarity with Cloud Architecture (Public and Private clouds) – AWS , AZURE familiarity, Prior experience of administration of Oracle or any other relational database, Help Application and Operations team to troubleshoot the performance issues, Assist in data modeling, design & implementation based on recognized standards, Query and execution engine performance monitoring and tuning, Responsible for code (ETL/Ingestion, SQL/Data Engineering, and Data Science Model) migrations to production using bitbucket, git, Jenkins, and artifactory, Provide operational instructions for deployments, for example, Java, Spark, Sqoop, Storm, Setting up Linux users, groups, Kerberos principals and keys, Aligning with the Systems engineering team in maintaining hardware and software environments required for Hadoop, Software installation, configuration, patches and upgrades, Working with data delivery teams to setup Hadoop application development environments, Data modelling, Database backup and recovery, File system management, Disk space management and monitoring (Nagios, Splunk etc), Planning of Back-up, High Availability and Disaster Recovery Infrastructure, Diligently teaming with Infrastructure, Network, Database, Application and Business Intelligence teams to guarantee high data quality and availability, Collaborating with application teams to install operating system and Hadoop updates, patches and version upgrades, Qualification: Postgrad in one of the following fields with strong academic credentials, Document all modeling steps in a systematic way including modeling process, insights generated , presentations , model validation results and checklists built in the project, Prepare a one pager document that outlines and quantifies the business impact due to the DS project, Interacts with users and evaluates vendor products, Makes recommendations to purchase hardware and software, coordinates installation and provides backup recovery, May program in an administrative language, Experience operating Hadoop clusters, specifically Hive, Linux system administration best practices, Solid understanding of network services (DNS, LDAP), Experience with AWS services (VPC, EC2, Cloud formation), Provides senior level consulting in identifying and solving complex and highly critical issues. 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