Big Data Developer Resume Samples

A Big Data Developer is responsible for coding and programming of Hadoop Applications. The major roles and responsibilities associated with this role are listed on the Big Data Developer Resume as follows – handling the installation, configuration and supporting of Hadoop; documenting, developing and designing all Hadoop applications; writing MapReduce coding for Hadoop clusters, helping in building new Hadoop clusters; performing the testing of software prototypes; pre-processing of data using Hive and Pig, and maintaining data security and privacy.

While the actual responsibilities vary by industry, the required skills are common and include the following – relevant technical skills and knowledge of distributed systems applications like Hive or Kafka; proficiency with database technologies like Oracle and DB2, and strong technical skills. individuals for this post need a bachelor’s degree in information technology or the related.

Big Data Developer Resume example

Big Data Developer Resume

Headline : 8 years of total experience in software development life cycle design, development and support of systems application architecture. 4 years of experience in Big Data Hadoop ecosystem experience in ingestion, storage, querying, processing and analysis of big data.

Skills : IBM WebSphere Datastage 8.1, Oracle 11i, UNIX, Map.

Description :

    1. Developed PIG scripts to transform the raw data into intelligent data as specified by business users.
    2. Worked in AWS environment for development and deployment of Custom Hadoop Applications.
    3. Worked closely with the data modelers to model the new incoming data sets.
    4. Expertise in designing and deployment of Hadoop cluster and different Big Data analytic tools including Pig, Hive, HBase, Oozie, ZooKeeper, SQOOP, flume, Spark, Impala, Cassandra with Horton work Distribution.
    5. Installed Hadoop, Map Reduce, HDFS, AWS and developed multiple MapReduce jobs in PIG and Hive for data cleaning and pre-processing.
    6. Assisted in upgrading, configuration and maintenance of various Hadoop infrastructures like Pig, Hive, and Hbase.
    7. Used Spark API over Hortonworks Hadoop YARN to perform analytics on data in Hive.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelors


Sr. Big Data Developer Resume

Headline : Over 8years of professional IT experience in Business Analysis, Design, Data Modeling, Development and Implementation of various client server and decision support system environments with focus on Big Data,Data Warehousing, Business Intelligence and DatabaseApplications.

Skills : HDFS, MapReduce, HIVE, Hbase, PIG, SQOOP, NAGIOS, OOZIE, and Flume Big Data and Big Data Analytics.

Description :

    1. Implemented and operated cutting-edge technological solutions that modernize health care administration systems.
    2. Migrated data from multiple source systems such as Teradata, DB2, SQL Server and Oracle to Hadoop distributed file system for data analysis.
    3. Developed and implemented platform architecture as per established standards.
    4. Supported integration of reference architectures and standards.
    5. Utilized Big Data technologies for producing technical designs, prepared architectures and blueprints for Big Data implementation.
    6. Assisted in designing, development, and architecture of Hadoop clusters and HBase systems.
    7. Coordinated with technical teams for the installation of Hadoop and third related applications on systems.
    8. Formulated procedures for planning and execution of system upgrades for all existing Hadoop clusters.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor Of Engineering


Jr. Big Data Developer Resume

Summary : Over 7+ years of experience in IT industry with strong emphasis on Object Oriented Analysis, ETL Design, Development and Implementation, Testing and Deployment of Data Warehouse as well as with Big Data Processing in ingestion, storage, querying and analysis.

Skills : Map Reduce, Map Reduce, Yarn, Sqoop, Flume, Pig, Hive, Hbase, Cassandra, Zoo Keeper, Oozie, Spark, Storm, Impala, AWS and Kafka.

Description :

    1. Processed data into HDFS by developing solutions, analyzed the data using MapReduce, Pig, Hive and produce summary results from Hadoop to downstream systems.
    2. Expertised in Unix/Linux Shell Scripting.
    3. Responsible for SDLC Technical Writing/Requirements Gathering and Documentations.
    4. Expertised in Agile/Scrum methodologies and the creation of SSIS jobs and stored procedures.
    5. Developed and created SOAP and RESTful service framework for the data warehouse team to extract master reference data (Post information, operating hours, and mission information.
    6. Involved in the development of real-time interactive dashboards using Tableau and Zoomdata.
    7. Developed shell, Perl and python scripts to automate and provide control flow to pig scripts.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Bachelor Of Engineering

Big Data Developer III Resume

Headline : 8+ Years of experience in design, development & testing multi-threaded and web based enterprise applications on agile environment and 3+ Years of experience in working with Big Data/Cloud Stack technologies.

Skills : Software Testing Life Cycle (STLC) and the Role of QA in different testing methodologies like Agile, and Waterfall.

Description :

    1. Provided an archival process to remove stale data, add failover redundancy, and give status updates.
    2. Deployed on low-cost commodity hardware on clustered instances in the internal client corporate cloud.
    3. Converted legacy oracle ETL process to a Hadoop Ecosystem.
    4. Developed Map Reduce jobs in Java for data cleaning and transformation.
    5. Developed Hive queries to analyze large datasets.
    6. Collected the logs data from the web servers and integrated it to HDFS using Flume.
    7. Involved in importing and exporting the data from RDBMS to HDFS and vice versa using Sqoop.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Electronics Engineering

Big Data Developer II Resume

Headline : 10+ years of Progressive and innovative experience in IT industry, including 3 years of extensive experience in Hadoop Eco System. Extensive experience in developing web, enterprise and SOA based applications using Java, J2SE, Multi-Threading, JavaBeans.

Skills : JSP, Servlets, JNDI, JDBC, Hibernate, JPA, Spring, WebServices (SOAP and Restful), JSF, XSD, XML, XSLT, JSON, JAX-B, EJB, JMS, MQ-Series, HTML, Ajax, Oracle and Linux/UNIX.

Description :

    1. Used flume NG to integrate signals data from different regions and load them into Hadoop boxes.
    2. Created complex hive tables and executed complex hive queries on a cluster.
    3. Reviewed and analyze raw data and develop recommendations.
    4. Configure multi-node Hadoop cluster for data store & processing.
    5. Designed & scheduled the jobs using Oozie scheduler.
    6. Developed Pig scripts and Java UDFs for extraction and normalization of content.
    7. Reviewed and analyzed raw data and develop recommendations.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Engineering

Big Data Developer I Resume

Headline : Over 3+ Years of experience in working with Big Data/Cloud Stack technologies. Strong knowledge of Software Development Life Cycle (SDLC) as well as Software Testing Life Cycle (STLC) and the Role of QA in different testing methodologies like Agile, and Waterfall.

Skills : Data Developer, Data Specialist.

Description :

    1. Provided an archival process to remove stale data, add failover redundancy, and give status updates.
    2. Deployed on low-cost commodity hardware on clustered instances in the internal client corporate cloud.
    3. Managed Hadoop clusters setup, install, monitor, maintain.
    4. Developed Map Reduce jobs in Java for data cleaning and transformation.
    5. Developed Hive queries to analyze large datasets.
    6. Collected the logs data from the web servers and integrated it to HDFS using Flume.
    7. Involved in importing and exporting the data from RDBMS to HDFS and vice versa using Sqoop.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelors

Big Data Developer/Anaylst Resume

Objective : Over 8 years overall experience as Senior Developer, Data and Integration Analyst with extensive knowledge in Big Data ecosystem and related technologies, Data warehouse, ETL, Mainframe, ALFA, Middleware, end-to-end Auto-Finance and Banking Domains.

Skills : Data Specialist, Data Analyst.

Description :

    1. Worked on analyzing different big data analytic tools including Hive, Impala and Sqoop in importing data from RDBMS to HDFS.
    2. Designed high-level ETL architecture for overall data transfer from the OLTP to OLAP.
    3. Created various Documents such as Source-To-Target Data mapping Document, Unit Test, Cases, and Data Migration Document.
    4. Imported data from structured data sources into HDFS using Sqoop incremental imports.
    5. Created Hive tables, partitions and implemented incremental imports to perform ad-hoc queries on structured data.
    6. Created Hive Generic UDF's to process business logic with Hive QL.
    7. Build Hive tables using list partitioning and hash partitioning.
    8. Developed SQL scripts using Spark for handling different data sets and verifying the performance over Map Reduce jobs.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor Of Engineering

Big Data Developer/Consultant Resume

Objective : Over 8+ years in Information Technology with skills in analysis, design, development, testing and deploying various software applications, which include Web related and windows applications with emphasis on Object Oriented Programming.

Skills : Data Analyst, Data Executive.

Description :

    1. Performed data graduation from the traditional data warehouse (Teradata) to Hadoop Data Lake.
    2. Merged all legacy ING-Direct bank data with Capital One and pushed to Hadoop.
    3. Extracted data from different sources (Teradata, Oracle, Google double click, etc), transformed it according to the business use case and loaded it into Hadoop.
    4. Developed various ETL transformation scripts using Hive to create refined datasets analytics use cases.
    5. Imported data from Oracle database to HDFS using Unix based File Watcher tool.
    6. Developed Hive scripts to denormalize and aggregate the disparate data.
    7. Automated workflows using shell scripts and Control-M jobs to pull data from various databases into Hadoop.
    8. Implemented external tables and dynamic partitions using Hive.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Bachelors

Big Data Developer/Engineer Resume

Objective : Total work experience of 8+ years in Information Technology with skills in analysis, design, development, testing and deploying various software applications, which include Web related and windows applications with emphasis on Object Oriented Programming.

Skills : Big Data development, Hadoop Ecosystem.

Description :

    1. Performed data graduation from the traditional data warehouse (Teradata) to Hadoop Data Lake.
    2. Merged all legacy ING-Direct bank data with Capital One and pushed to Hadoop.
    3. Extracted data from different sources (Teradata, Oracle, Google double click, etc), transformed it according to the business use case and loaded it into Hadoop.
    4. Developed various ETL transformation scripts using Hive to create refined datasets analytics use cases.
    5. Imported data from Oracle database to HDFS using Unix based File Watcher tool.
    6. Developed Hive scripts to denormalize and aggregate the disparate data.
    7. Automated workflows using shell scripts and Control-M jobs to pull data from various databases into Hadoop.
    8. Implemented external tables and dynamic partitions using Hive.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Bachelors

Big Data Developer/Specialist Resume

Objective : 8 years of total experience in software development life cycle design, development and support of systems application architecture. 4 years of experience in Big Data Hadoop ecosystem experience in ingestion, storage, querying, processing and analysis of big data.

Skills : IBM WebSphere Datastage 8.1, Oracle 11i, UNIX, Map.

Description :

    1. Developed PIG scripts to transform the raw data into intelligent data as specified by business users.
    2. Worked in the AWS environment for the development and deployment of Custom Hadoop Applications.
    3. Worked closely with the data modelers to model the new incoming data sets.
    4. Involved in start to end process of Hadoop jobs that used various technologies such as Sqoop, Pig, Hive, MapReduce, Spark and Shell scripts (for scheduling of few jobs) Extracted and loaded data into Data Lake environment (AmazonS3) by using Sqoop which was accessed by business users and data scientists.
    5. Expertise in designing and deployment of Hadoop cluster and different Big Data analytic tools including Pig, Hive, HBase, Oozie, ZooKeeper, SQOOP, Flume, Spark, Impala, Cassandra with Horton work Distribution.
    6. Installed Hadoop, Map Reduce, HDFS, AWS and developed multiple MapReduce jobs in PIG and Hive for data cleaning and pre-processing.
    7. Assisted in upgrading, configuration, and maintenance of various Hadoop infrastructures like Pig, Hive, and Hbase.
    8. Used Spark API over Hortonworks Hadoop YARN to perform analytics on data in Hive.
    9. Improved the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Engineering