A Hadoop Developer uses Hadoop software to store and distribute huge quantities of data. Their duties include loading large sets of data, translating technical requirements into Hadoop designs, writing queries, maintaining security, reviewing stored data, proposing best practices, and maintaining data privacy. To be a Hadoop developer you must have at least a bachelor’s degree in IT or a related field, and then go on to pass the Hadoop certification exam. Skills needed to be a successful Hadoop Developer are patience, attention to detail, coding skills, proficiency with MapReduce, problem-solving skills, proficiency with databases, hand-on experience with HiveQL, and team-working skills.
A good resume is well-written and concise. It should be neat and easy to read, listing previous experience in a logical order.
Our resume samples will provide you with multiple examples of what you can include when writing your resume.
Contents
The Best Hadoop Developer Resume Samples
These are some examples of accomplishments we have handpicked from real Hadoop Developer resumes for your reference.
Hadoop Developer
- Working with multiple teams and understanding their business requirements for understanding data in the source files.
- Creating end to end Spark applications using Scala to perform various data cleansing, validation, transformation and summarization activities according to the requirement.
- Exploring with the Spark for improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD’s, YARN.
- Worked collaboratively to manage build outs of large data clusters and real time streaming with Spark.
- Designed, built, integrated, and supported the development of a software application for the insurance industry.
Hadoop Developer
- Assisted in upgrading, configuration and maintenance of various Hadoop infrastructures like Pig, Hive, and Hbase.
- Developed and executed custom MapReduce programs, PigLatin scripts and HQL queries.
- Developed Schedulers that communicated with the Cloud based services (AWS) to retrieve the data.
- Used Hadoop FS scripts for HDFS (Hadoop File System) data loading and manipulation.
- Responsible for all phases of the software development life cycle including, management resources, planning and organizing work efforts, gathering requirements, and delivering solutions to business problems.
Hadoop Developer
- Helping this firm developing, installing and configuring Hadoop ecosystem components that moved data from individual servers to HDFS.
- Responsible for coding Java Batch, Restful Service, Map Reduce program, Hive query’s, testing, debugging, Peer code review, troubleshooting and maintain status report.
- Developed automated scripts to install Hadoop clusters. Monitored Hadoop cluster job performance and capacity planning.
- Fought for hours against an intense denial-of-service attack which nearly crippled the system resulting in a disaster recovery solution that tripled the capacity of our current server.
- Developed and maintained a Java application for analytics related to Hadoop storage.
Hadoop Developer
- Managed and reviewed Hadoop log files. Tested raw data and executed performance scripts.
- Developed Map Reduce programs to parse the raw data, populate staging tables and store the refined data in partitioned tables in the EDW.
- Created Hive queries that helped market analysts spot emerging trends by comparing fresh data with EDW reference tables and historical metrics.
- Enabled speedy reviews and first mover advantages by using Oozie to automate data loading into the Hadoop Distributed File System and PIG to pre-process the data.
- Demonstrated ability to handle large data sets and meet deadlines on projects at all stages of the development lifecycle.
Hadoop Developer
- Involved in installing and configuration of Hadoop distribution systems as a Hortonworks Distribution (HDP).
- Involved in requirement gathered, narrates the stories, reviewing and merging the codes of development teaminto Dev repositories and follow the agile methodologies of SDLC.
- Importing of data from various data sources, performed transformations using Hive, loaded data into HDFS and extracted the data from SQL Server into HDFS using Sqoop.
- Exporting the analyzing data to the relational databases using for visualization and to generate reports for the BI team.
- Ensured that all code was written in accordance with the designated standards and procedures.
Hadoop Developer
- Used HAPI parser to parse FHIR Resource Bundle (in JSON) and stored data on Hadoop cluster using MapReduce programs.
- Used JAXB parser to parse semi-structured survey data, stored in XML file and ingested to Hadoop cluster.
- Wrote MapReduce programs using java to process data ingested to cluster.
- MapReduce program to eliminate duplicate records by, to store incremental/updated data, to read data from one file format to other to meet some business requirement.
- Taught an introductory R programming course for training new employees in this programming language.
Hadoop Developer
- Data (flat files) which we are getting in different format were converted into CSV using Map-reduce framework.
- Implemented pre-defined operators in spark such as map, reduce, sample, filter, count, cogroup, groupBy, sort, reduceByKey, take, groupByKey, union, leftOuterJoin, rightOuterJoin, and etc.
- Used Flume to collect, aggregate, and store the web log data from different sources like web servers, mobile and network devices and pushed to HDFS.
- Developed, implemented, and configured Hadoop-based applications for the financial and telecommunications industries.
- Used Java, SQL, and web services to create efficient systems that required multiple processing nodes.
Hadoop Developer
- Involved in extracting customer’s big data from various data sources into Hadoop HDFS.
- This included data from mainframes, databases and also logs data from servers.
- Used Sqoop to efficiently transfer data between databases and HDFS and used Flume to stream the log data from servers.
- Developed MapReduce programs to cleanse the data in HDFS obtained from heterogeneous data sources to make it suitable for ingestion into Hive schema for analysis.
- Created new software tools to streamline operational processes while collaborating with both technical staff and business unit managers.
Hadoop Developer
- Experienced in loading data from different relational databases to HDFS using Sqoop.
- Exported the analyzed data to the relational databases using Sqoop for visualization and to generate reports for the BI team.
- Developed MapReduce programs to cleanse the data in HDFS obtained from heterogeneous data sources to make it suitable for ingestion into Hive schema for analysis.
- Developed Hive and Pig custom UDF’s to maintain unique date format across the HDFS.
- Responsible for creating Hive External tables and loading the data in to tables and query data using Hive.
Hadoop Developer
- Developed simple and complex MapReduce programs in Java for Data Analysis on different data formats.
- Developed MapReduce programs that filter bad and un-necessary claim records and find out unique records based on account type.
- Implemented Daily Cron jobs that automate parallel tasks of loading the data into HDFS and pre-processing with Pig using Oozie co-ordinator jobs.
- Developed and maintained a MapReduce application for the Supervisory Control and Data Acquisition (SCADA) system in order to automate the solution to a client’s business problem.
- Built, integrated, and supported the development of a software application for the utility industry.
Hadoop Developer
- Transmission of processed data from HDFS to RDBMS or any other external file systems was carried out using Sqoop.
- Developed data pipeline expending Pig and Java MapReduce to consume customer behavioral data and financial antiquities into HDFS for analysis.
- Extracted and restructured the data into MongoDB using MongoDB import and export command line utility tool.
- Responsible for all phases of the software development life cycle including, management resources, planning and organizing work efforts, gathering requirements, and delivering solutions to business problems.
- Worked as a Hadoop Developer and architect on a multi-use data processing tool.
- Created multiple software applications to perform complex data processing operations utilizing Hadoop distributed systems.
Hadoop Developer
- Handling importing of data from various data sources, performed transformations using Hive, Pig and loaded data into HDFS for aggregations.
- Working closely with the business analysts to convert the Business Requirements into Technical Requirements and prepared low and high level documentation.
- Worked hand-in-hand with the Architect; enhanced and optimized product Spark code to aggregate, group and run data mining tasks using Spark framework.
- Developed robust Hadoop applications to enhance real-time reporting abilities, automate data analysis, and provide accurate information.
- Designed and developed a computer application that performs data analysis on classified government information.
Wrap Up
You need to make sure your resume stands out amongst the other candidates. It is the first impression that employers have of your work experience and skills. Use the samples above to put together a resume that best suits your needs and helps you get the job you want.