We provide IT Staff Augmentation Services!

Big Data Developer Resume

2.00/5 (Submit Your Rating)

Richmond, VA

SUMMARY

  • 9+ years of IT experience in Software Development, with 2+ years of experience in Big DataHadoop in domains like Finance, Transportation and Logistics.
  • Extensive experience in analyzing data using Hadoop Ecosystem including Hive, PIG, Sqoop and Map Reduce.
  • Experience in developing custom Map Reduce Programs in Java using Apache Hadoopfor analyzing Big Data as per the requirement.
  • In depth understanding and knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapReduce concepts.
  • Experience in extending HIVE and PIG core functionality by using custom UDF’s.
  • Experience in importing and exporting the data using Sqoop from HDFS to Relational Database systems and vice - versa.
  • Involved in business requirements gathering for successful implementation and POC (proof-of-concept) of Hadoop and its ecosystem
  • Experience in managing and reviewing Hadoop Log files.
  • Experience in installation, configuration, management and deployment of Big Data solutions and the underlying infrastructure of Hadoop Cluster.
  • Experience in the integration of various data sources like Java, RDBMS, Shell Scripting, Spreadsheets and Text files.
  • Extensive experience with SQL, PL/SQL and database concepts
  • Ability to blend technical expertise with strong Conceptual and Analytical skills to provide quality solutions and result-oriented problem solving technique and leadership skills.
  • Knowledge of Agile Software Development using Scrum process.
  • Excellent leadership, interpersonal, problem solving and time management skills.

TECHNICAL SKILLS

Big data/Hadoop Ecosystem: HDFS, Map Reduce, HIVE, PIG, HBase, Sqoop, Oozie

Programming Languages: C, C++, Java, SQL, PL/SQL, Windows scripting.

NoSQL Databases: MongoDB, HBase

Database: Oracle 11g/10g, DB2, MS-SQL Server, MySQL.

Web Technologies: HTML, XML, JDBC, JavaScript.

Tools: Used: Eclipse, Putty.

Operating System: Ubuntu (Linux), Win 95/98/2000/XP, Mac OS, RedHat

ETL Tools: Job Runner.

Testing: Hadoop Testing, Hive Testing, Quality Center (QC), Unified Functional Test (UFT).

PROFESSIONAL EXPERIENCE

Confidential -Richmond, VA

Big Data Developer

RESPONSIBILITIES:

  • Develop Map Reduce jobs for metrics.
  • Develop PIG script / MR Jobs to structure the data.
  • Connect the Reducer output for the dashboard to consume.
  • Implement wrapper scripts if required.
  • Designed and developed MapReduce programs.
  • Involved in moving all log files generated from various sources to HDFS for further processing through Flume.
  • Involved in loading data from UNIX file system to HDFS.
  • Worked on Hue interface for querying the data.
  • Created Hive tables to store the processed results in a tabular format.
  • Involved in designing the Hive table partitioning (Yearly partitioning, Monthly partitioning).
  • Designed and developed UDF for Hive Scripts to handle the data and business logic.
  • Implemented test scripts to support test driven development and continuous integration.
  • Responsible to manage data coming from different sources.
  • Experienced on loading and transforming of large sets of structured and semi structured data.
  • Exported the analyzed data to the relational databases using Sqoop for visualization and to generate reports for the BI team.
  • Analyzed large amounts of data sets to determine optimal way to aggregate and report on it.
  • Participate in requirement gathering and analysis phase of the project in documenting the business requirements by conducting workshops/meetings with various business users.

Environment: Cloudera CDH4, HDFS, Map Reduce, Hive 0.10, Pig 0.11, Sqoop, Java API.

Confidential - Jacksonville, FL

Hadoop Developer

RESPONSIBILITIES:

  • Interact with business partners to understand their analytical needs.
  • Conduct data analysis and perform feasibility study.
  • Develop Map Reduce.
  • Develop PIG scripts / MR Jobs to structure the unstructured data.
  • Developed solutions to process data into HDFS (Hadoop Distributed File System), process within Hadoop and emit the summary results from Hadoop to downstream systems.
  • Used Sqoop extensively to ingest data from various source systems into HDFS.
  • Worked on different file formats like Text files, Sequence Files, Record columnar files (RC).
  • Worked on a stand-alone as well as a distributed Hadoop application.
  • Understood complex data structures of different type (structured, semi structured) and de-normalizing for storage in Hadoop.

Environment: Apache Hortonworks distribution 1.x, HDFS, Pig 0.10, Hive, MapReduce, Sqoop, Java Eclipse.

Confidential - Jacksonville, FL

Sr Developer

RESPONSIBILITIES:

  • Automation framework implementation for QA team.
  • Responsible for gathering business and functional requirements for the development and support of in-house and vendor developed applications
  • Gathered and analyzed information for developing, supporting, and modifying existing web applications based on prioritized business needs
  • Maintenance and framework support.

Environment: Java 1.6, Eclipse, Selenium.

Confidential

Sr Technical Associate

RESPONSIBILITIES:

  • Develop Automation Scripts and scheduling.
  • Generate Test Data as requested.
  • Bug Logging / Tracking.
  • Bug Regression.
  • Enhance Automation scripts.
  • Analysis and development of test data profile for each application.
  • Identify and implement Data Management processes.
  • Develop and maintain comprehensive data request process.
  • Develop QTP automation scripts to generate Siebel orders and also COX legacy applications.
  • Allocate data between the testing work streams in order to prevent conflict.
  • Generate volumes of data as and when needed for performance and load testing.

Confidential 

Software Engineer

RESPONSIBILITIES:

  • Develop Automation Scripts and scheduling.
  • Sanity Testing / Regression Testing.
  • Bug Logging / Tracking.
  • Bug Regression.

We'd love your feedback!