Hadoop Developer Resume Sample

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Modesto Dickinson
991 Aufderhar Meadow,  Detroit,  MI
+1 (555) 578 5355

Work Experience


Senior Hadoop Developer
04/2016 - PRESENT
Detroit, MI
  • Design, code, test and installation of new applications across Equifax’s delivery platforms according to development standards and processes
  • We love to see experience with HBase, Storm, MapReduce, SQL Server (including SSIS and SSAS), REST, Spring, JMS
  • Past experience of configuring, deploying and using Hadoop eco-system including technologies like Hive, Sqoop, Impala and Oozie
  • Research, analyze and deliver insights on Group Function data repositories using statistical analysis and data visualization
  • Present & articulate findings to senior management
  • Develop and maintain expertise in the Group Functions’ data domains, as well as expertise in accessing, querying, testing and validating data content to drive quality and consistency within solutions
  • Partner with data governance teams, architects and Business Relationship Managers (BRMs) to help establish appropriate standards and methodologies around data and supporting analytic requirements from within Group Functions and across the Divisions
  • Have a general understanding of entire Hadoop ecosystem, Cloudera DataHub 5.9 in particular
  • Understand characteristics of each HDFS file format, especially Parquet
Hadoop Developer
10/2009 - 10/2015
San Francisco, CA
  • Database query tools
  • Experience analyzing data solving problems and troubleshooting to provide solutions
  • Experience in entire application development process, specifically Agile
  • Responsible for full life cycle development of new and existing enterprise Hadoop cluster and java/j2ee applications and components
  • Experience with OOD, data structures, algorithms and all phases of software development
  • Design and implementation of data pipelines in Hadoop
  • Ongoing management and support of the Cloudera/Hadoop platform including capacity management, performance monitoring, user administration, troubleshooting and resolution of technical issues
Entry Level ETL / Hadoop Developer
06/2003 - 08/2009
Boston, MA
  • Have knowledge/experience on Impala/Hive file organization and performance tuning
  • Understand/practice HBase data model design principle
  • Master HiveQL on Impala and Hive
  • Have knowledge/experience programming Spark and SparkSQL
  • Have some knowledge/experience on Hue/Zeppelin/Kylin
  • Object Oriented Programming Required (Java, JavaScript)
  • Relation Database Knowledge (SQL, Oracle, Netezza, PosgreSQL, MySQL)
  • Proficient with Spring technologies (Boot, Batch, MVC, Hibernate, JDBC)
  • Source Code Control (GIT)

Education


Washington Adventist University
1999 - 2003
Bachelor's Degree in Computer Science

Professional Skills


  • Exceptional technical skills and problem solving skills
  • Analytical and problem-solving skills; the implementation of these skills in Big Data domain
  • Strong, senior-level skills in using software engineering practices to develop enterprise applications – Java, Spring, XML, JDBC/JPA/Hibernate
  • Proficient scripting skills i.e. unix shell ? Experience on Autosys, JIL scripting
  • Strong analytical skills, broad knowledge of financial instruments, including financial asset pricing
  • Strong debugging skills to troubleshoot production issues
  • Strong diagramming skills - flowcharts, data flows, etc

How to write Hadoop Developer Resume

Hadoop Developer role is responsible for analytical, sql, technical, presentation, hadoop, programming, financial, modeling, java, database.
To write great resume for hadoop developer job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Hadoop Developer Resume

The section contact information is important in your hadoop developer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Hadoop Developer Resume

The section work experience is an essential part of your hadoop developer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous hadoop developer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular hadoop developer position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Hadoop Developer resume experience can include:

  • Five to eight years of experience in database development (primary focus is Oracle, Solid PL/SQL programming skills
  • Good communications skills in addition to being a team player
  • Excellent analytically and problem-solving skills
  • Excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business people
  • Solid communication skills in English and Czech/Slovak
  • Excellent Java and unix/linux skills

Education on a Hadoop Developer Resume

Make sure to make education a priority on your hadoop developer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your hadoop developer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Hadoop Developer Resume

When listing skills on your hadoop developer resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical hadoop developer skills:

  • Possesses solid analytical skills, and creative thinking for complex problem solving
  • Solid design skills and ability to work independently and in a team setting
  • Strong SQL composition skills with Oracle/MySQL databases
  • Strong development and automation skills
  • High energy versatile resource with both development skills and business acumen to operate at a fast and accurate speed
  • Solid investigative skills to find root cause for ETL problems

List of Typical Experience For a Hadoop Developer Resume

1

Experience For Senior Hadoop Developer Resume

  • 3) Demonstrated experience of having responsibility for enterprise application code operating in production environments
  • Strong working experience with Spark
  • Strong experience with Hadoop technologies including but not limited to: Nifi, Sqoop, Hive, Pig, Spark, and HBase
  • More than 3 years of actual Hortonworks/Hadoop experience, with specific experience using HDF
  • Strong experience with Scala, Spark, Hive and Kafka
2

Experience For Java / Hadoop Developer Resume

  • Good experience on Apache Hadoop Map Reduce programming, PIG Scripting and Distribute Application and HDFS
  • Very good experience in complete project lifecycle (design, development, testing and implementation)
  • Need to have solid experience in Spark, Python or PERL, Scala, Hive
  • Experience developing, modifying, and testing applications using Hadoop
  • Experience working in Hive or related tools on Hadoop, Performance tuning, File Format, executing designing complex hive HQL's, data migration conversion
  • Experience in running, using and troubleshooting the Cloudera Hadoop Ecosystem i.e. Hadoop, Impala, Spark
  • Good understanding of programming fundamentals, asynchronous/synchronous programming concepts and design patterns
  • Experience in installing, configuring and maintaining enterprise Hadoop environment
  • Experience designing technical solutions using object-oriented design concepts using Java
3

Experience For Senior Hadoop Developer Big Data Resume

  • Experience in connecting Hadoop framework components to Tableau reporting
  • Experience with multiple programming or scripting language (Java, JavaScript, SQL)
  • Experience writing/modifying programs for a mid to large size application
  • Experience and knowledge with analytic methods (i.e., descriptive statistics, predictive modeling, multivariate methods, machine learning)
  • Experience working with BI reporting tools such as Tableau, Lumira, SpotFire, etc
4

Experience For Dw-hadoop Developer Resume

  • Fluent experience developing solutions using the MapReduce framework
  • Experience building complex algorithms and or machine learning solutions
  • Experience with developing ETL streams using Informatica, and Teradata
  • Experience working with programing language like Java/Scala or python
  • Experience in the following areas - UNIX Shell Scripting and Informatica ETL
5

Experience For Big Data Hadoop Developer Resume

  • Experience designing and/or implementing large scale data ingestion pipelines for big data applications
  • Trong hands on knowledge of application development using Java, Spring (and/or other standard frameworks)
  • Experience using Hive with external querying tools such as Tableau or SAP Business Objects
  • Experience writing and using REST web services
  • Experienced in developing scalable web services and distributed real-time message processing systems (Kafka, Spark, etc.)
  • Experience reviewing query performance and optimizing code
  • Strong understanding of ETL tools, including Informatica
  • Experience in Capacity Planning, Cluster Designing and Deployment
  • Experience with Hadoop data ingestion using ETL tools and Hadoop transformation (using MapReduce, Spark, Blaze)
6

Experience For Tech Lead / Hadoop Developer Resume

  • Solid knowledge of the programming language(s), application server, database server and/or architecture of the system being developed
  • Solid understanding of current programming languages and employs any/all of these languages to solve the business needs of Client's internal customers
  • Experience working in DevOps environment with a relentless focus on automation of testing and deployment via TeamCity, Nolio and similar tools
  • Experience setting up a test framework, and improving it
  • Experienced in providing support and resolving issues for systems in production
  • Development experience using Spring API
  • Experience in designing and building solutions within Hadoop environment
7

Experience For Hadoop Developer Senior Solutions Engineer Resume

  • Experience with Batch data loading using Sqoop, Pig and Hive
  • Experience in troubleshooting Hadoop Service issues by analyzing various service log files
  • Experience of being involved in delivering large scale distributed systems
  • Good aptitude in multi-threading, concurrency and distributed processing concepts
  • Experience with building and maintaining Big Data and Fast Data applications
8

Experience For Full Stack Java Hadoop Developer Resume

  • Experience with programming languages – Java, and scripting languages – Shell, Python
  • Solid understanding of design and development of applications using Java or similar technologies
  • Strong understanding of development languages to include: Java, Python, Scala, Shell Scripting
  • Strong understanding of data profiling concepts and ability to operationalize analyses into design and development activities
  • Experience in Java, JEE, Spring, Hibernate, Unix/Linux including shell scripts, Oracle PL/SQL, XML/XSLT
  • Total experience developing Data Warehouse/Big Data application solutions using Hadoop technology
  • Experienced in solutioning and architecting Hadoop based systems
9

Experience For Modern Stack Hadoop Developer CST Resume

  • Experience with real time messaging and ingestion including Kafka
  • Experience working with programming language like Java/Scala or python
  • Production Experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
  • Perform Unit and QA testing data loads and development of scripts for data validation
  • Champion good practice and techniques; contributing to improve the team’s technical & delivery capability
  • Experience delivering data documentation artifacts in organizations of similar size and complexity within project deadlines
  • Experience writing complex SQL and NoSQL jobs to analyze data in both traditional DBMS (MS-SQL, Oracle) and Big Data environments (i.e., HADOOP, SPARK)
  • Experience working with ETL Tools (Informatica/DS/SSIS) for data Integration
  • Experience developing in a production Hadoop cluster
10

Experience For Senior Big Data Hadoop Developer Resume

  • Experience using the Hortonworks Data Platform
  • Experience working with Ambari, Ranger, R Studio, or HBase
  • Experience in building solutions to integrate with Hadoop REST interfaces such as WebHDFS
  • Experience with working in cloud based environments (IaaS/PaaS) such as AWS
  • Good understanding of IDR processes
  • Solid understanding of production IDR ETL streams
  • Experience with Control M (or similar job scheduling AutoSys)
  • Solid knowledge of DBMS optimizer and performance tuning techniques
  • Experience with regression testing and stored procedure development

List of Typical Skills For a Hadoop Developer Resume

1

Skills For Senior Hadoop Developer Resume

  • Strong SQL skills (MySQL, PostgreSQL, RDBMS) 2+ years in Hadoop – HDFS, Hive, MapReduce, HBase
  • Leading developers and applying skills in UNIX commands and shell scripting, Oracle, PL/SQL, SQL Tuning, Informatica, Sqoop, SparkSQL and data modeling
  • Scripting skills in Linux environment
  • Prior experience in building scaleable distributed data processing solutions with Hadoop using tools such as Hive, HBase (NoSQL), and Sqoop
  • BI experience building SSRS and Tableau reports is another skill gap. They are going to use more Tableau reports in the future
  • Trong hands on experience designing and developing Hadoop/Spark applications in Java
2

Skills For Java / Hadoop Developer Resume

  • Expert coding skills in Java, Scala, Python and scripting languages
  • Strong hands-on production level experience architecting and developing within the Hadoop ecosystem (HDFS/MapReduce)
  • Solid analysis and programming experience with Object Oriented programming
  • Good understanding and strong interest of emerging technologies, and Big Data
  • Solid knowledge of Rest Services and experience writing Rest Services sourcing from HBase/Phoenix & Hive
  • Hadoop/ETL Experience (data processing and scripting experience)
  • Fluent text file processing skills using Regex, Sed, Awk, Grep, Perl, etc
  • Hadoop developer who has solid understanding of and experience in developing applications in the Hadoop ecosystem
  • Strong hands-on experience in developing code in Hadoop using Spark (Scala), Hive, Pig, Sqoop etc
3

Skills For Senior Hadoop Developer Big Data Resume

  • Strong hands-on experience coding in JAVA, Python, Unix shell scripting, relational databases (RDBMS), and PL/SQL
  • Utilize outstanding analytical and diagnostic skills when dealing with complex issues
  • Solid experience in writing programs using Map-Reduce
  • Strong object-oriented programming and design experience
  • Strong experience with SQL and Data modeling
  • Strong experience with Hadoop technologies including but not limited to: Nifi, Sqoop, Hive, Spark, HBase, JanusGraph, Ranger, and Atlas
  • Strong hands-on development experience using Core Java 6 or Java 7 and J2EE
  • Development experience including 5+ years Hands-on Hadoop experience
4

Skills For Dw-hadoop Developer Resume

  • Proven understanding and related experience with Hadoop, HDFS, HBase, Hive, Pig, Sqoop, Hue, Git and/or MapReduce
  • Demonstrable Java testing skills (e.g. JUnit or Mockito)
  • Proven experience with introducing new technologies and ideas into development/support practices
  • Core Hadoop experience working on multiple projects, with solid exposure to tools such as Pig, Hive, Spark, Oozie, Flume, Kafka
  • Prior experience with leading design, development, and implementation of java applications is required
  • In depth development skills and expert level understanding of Hadoop ecosystem
  • Object oriented programming skills; Java, C# or C++
  • Hadoop experience (experience working on the Data and Analytics Solutions team)
5

Skills For Big Data Hadoop Developer Resume

  • Strong experience on Hadoop-related technologies, Hive, Impala, MapReduce, Spark, etc
  • Trong hands on experience on Design and development of Hadoop/Spark applications in Java
  • Trong hands on experience with Spark / Spark SQL
  • Very strong Java experience (related to Big Data applications)
  • SQL skills with Stored Procedure knowledge
  • Strong Hadoop development experience
6

Skills For Tech Lead / Hadoop Developer Resume

  • Demonstrated ability to establish priorities, organize, and plan work to satisfy established timeframes
  • Good to have – Developer Experience in any RDBMS
  • Experience OO language experience (Java, Python, C++ or C#)
  • Good understanding & experience with Performance and Performance tuning for complex S/W projects mainly around large scale and low latency
  • Strong experience in KDB/q technology
  • Good Hadoop Administration experience - Access, Service Maintenance, job restarts, migrations etc
7

Skills For Hadoop Developer Senior Solutions Engineer Resume

  • Good to have experience in Kafka
  • Needs to have a good experience on ETL Technologies and concepts of Data Warehouse
  • In strong development experience in core Java and Linux environment
  • Core Hadoop experience, with solid exposure to tools such as Pig, Hive, Spark, Oozie, Flume
  • Hands-on experience with the Hadoop stack (HDFS, MapReduce, HBase, Pig, Hive, Storm, Kafka, Spark) with 4+ years of software development experience
  • Development skills in Java, REST API, Python, Scala
8

Skills For Full Stack Java Hadoop Developer Resume

  • Identify problems, and effectively communicate solutions to team
  • Working experience of handling big data volume
  • Programming experience on Java/Python/Scala
  • Working experience in Spark, mid to senior-level expertise
  • Programming experience with MapReduce/HDFS/Pig/Hive/Hbase is desirable
9

Skills For Modern Stack Hadoop Developer CST Resume

  • Working experience in Struts, Hibernate is required
  • Working experience in HQL
  • Working experience with Big Data (Hbase/Impala/Hive) No-SQL databases
  • Experience with building stream-processing systems, using solutions such as Storm or Spark Streaming
  • Experience working in Hive or related tools on Hadoop, Performance tuning, File Format, executing designing complex hive HQL’s, data migration conversion
10

Skills For Senior Big Data Hadoop Developer Resume

  • €¢ Support Technical skill building (including hiring and training) for the team based on inputs from project manager
  • Experience in running, using and troubleshooting the Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Hue, Oozie, Yarn, Sqoop, Flume
  • Experience working with Java application development frameworks – Spring hibernate etc. – and Unix / Linux shell scripting is added advantage
  • Experience (preferably more) with java/.net programming including building web applications or desktop applications
  • Experience in computer programming using scalable technologies using Python, R, SQL, and Excel
  • Experience working with enterprise wide scalable strategic systems from design to development, statistical modelling, and pricing of financial instruments
  • Experience of computer programming using scalable technologies using Python
  • Good understanding of scripting and networking

List of Typical Responsibilities For a Hadoop Developer Resume

1

Responsibilities For Senior Hadoop Developer Resume

  • Excellent communication, time management, and technical presentation skills
  • 2) Demonstrated experience as Service Lead working in complex technical environment without much technical guidance
  • Nice to have skills: R
  • 4) Verbal and written English language skills sufficient to communicate without restriction in a complex environment
  • Prior experience of analysis and resolution of data quality and integration issues
  • Learn from an experienced team and hands-on experience with a modern data infrastructure
  • Strong hands on experience HIVE, HBASE, Pig, Spark
  • Hadoop development skills
2

Responsibilities For Java / Hadoop Developer Resume

  • Excellent analytical capabilities - Strong interest in algorithms
  • Experience with Big Data tools and technologies including working in a
  • Experience in analyzing text, streams and complex event types with emerging Hadoop-based Big Data, NoSQL
  • Experience developing application using Big Data, Kafka, Cassandra, Apache Storm, Apache Spark and related areas
  • Experience in managing and reviewing Hadoop logfiles and incremental and archival strategy implementation
  • Experience programming in Java or .Net environment
  • Experience with Hive/Spark SQL and performance tuning
  • , hands-on experience with Hadoop ecosystem (including HDFS, Spark, Sqoop, Flume, Hive, Impala, MapReduce, Sentry, Navigator)
  • Experience in deployment of BI & Analytics solutions using Big Data Technologies (MapReduce, Gemfire)
3

Responsibilities For Senior Hadoop Developer Big Data Resume

  • Experience in following: Pig, Sqoop, MapReduce, Kafka, Spark, Java
  • Hadoop – Good knowledge and understanding
  • Experience in using all Hadoop tools Spark, HIVE, HDFS
  • Experience working with millions of rows of data
  • Experience with big data tools including Cloudera, Hive
  • Experience working in agile based delivery teams
  • Experience with a variety of Relational databases including: Oracle, MySQL, Postgres, MS SQL Server
  • Experience and/or familiarity with various functional areas pertaining to telecommunications networks
4

Responsibilities For Dw-hadoop Developer Resume

  • Extensive knowledge and experience with Java programming
  • Previous experience in a customer facing role (e.g. within data centers, data storage or similar)
  • Experience in Big Data Development using Hadoop platform with tools like Hive, Hbase, Spark etc
  • Experience working in a data environment with large volumes preferably in financial industry
  • Experience in Machine learning on top of Hadoop platform
  • Experience with real-time data ingestion using Kafka, Spark and Hbase/Mongo DB
  • Experience in loading Unstructured/transactional data in Hadoop
  • Experience working in a Hadoop Kerberized environment
5

Responsibilities For Big Data Hadoop Developer Resume

  • Experience working in the Hadoop ecosystem and its components –HBase, Pig, Hive, Sqoop, Flume, Oozie, etc
  • Good knowledge of concurrency and multi-threading, and big/fast data concepts
  • A very strong SQL/data analysis or data mining background
  • Experience with Linux or Unix OS system management and at least one scripting language
  • Experience in Tableau reporting tool with Hadoop
  • Java scripting experience is nice to have
  • Experience supporting large EDWs of similar size and scale
  • Experience working on one of the Hadoop distributions (Hortonworks, Cloudera or MapR)
  • Strong knowledge of Shell, Perl, Python, JavaScript or other scripting languages
6

Responsibilities For Tech Lead / Hadoop Developer Resume

  • Experience building applications on Hadoop systems
  • Very good understanding of Hadoop/MAPR
  • Experience with Cloud native application development, Cloud deployment, and Cloud application refactoring
  • Experience working on one of the Hadoop distributions (Hortonworks, Cloudera or MapR)
  • Experience with delivering Big Data Solutons in the cloud
7

Responsibilities For Hadoop Developer Senior Solutions Engineer Resume

  • Experience working with Kaftka
  • Experience working with Hive and Spark
  • Knowledge and experience in Marketing and Sales
  • Hands on experience with Shell Scripting, Java, and SQL
  • Experience working with Kerberized Hadoop clusters
  • Experience with Hadoop Ecosystem including Spark, Storm, HDFS, Hive, HBase and other NoSQL databases
  • Good Understanding on Object Oriented Concepts
  • Hands-on experience in backend programming, particularly Java, JavaScript, OOAD, and Node.js
  • Good knowledge of the concepts of multi-threading and concurrency
8

Responsibilities For Full Stack Java Hadoop Developer Resume

  • Experience in developing Hadoop Ecosystem: HDFS, Hive, Scala & Impala
  • Experience working on Agile Scrum teams
  • Experience with Design of Data Integration using ETL, ELT or patterns
  • Experience with analytic and reporting technologies such as Tableau and SAS
  • Nice to have : experience working with Python, R, Kafka
  • Proven understanding of Hadoop SQL base tools such as Hive & Impala
  • Good knowledge of Hadoop querying tools, such as Hive, and Impala
  • Experience in the financial services industry and derivative trading in particular
9

Responsibilities For Modern Stack Hadoop Developer CST Resume

  • Solid knowledge of distributed computing
  • Experience integrating analytic tools, specifically SpotFire (7.5) and SAS Visual Analytics
  • Experience integrating analytic tools, specifically SpotFire (7.5), SAS Visual Analytics, and SAS Viya 8.2
  • Experience in Big Data Development using Hadoop platform with tools like Hive, Hbase, Spark etc
  • Experience working in a data environment with large volumes preferably in financial industry
  • Experience in Big Data Development using Hadoop platform with tools like Hive, Hbase, Spark, etc
10

Responsibilities For Senior Big Data Hadoop Developer Resume

  • Experience in programming database views, stored procedures, and functions
  • Experience Writing queries and stored procedures used in large scale data ware house environments
  • Experience working with enterprise wide scalable strategic systems from design to development
  • Hands on experience with Hadoop using Cloudera
  • Experience in SQL and Unix shell scripting
  • Experience (advanced knowledge) with SQL including how to optimize queries
  • Experience using Hadoop technologies (HDFS, Hive, Impala, Map Reduce, Pig, Yarn )

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