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 : As a Big Data Developer, to contribute to high-quality technology solutions that address business needs by developing data applications for the customer business lines.

Skills : Oracle 11i, UNIX, Apache Hadoop, Apache Spark.

Description :

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


Big Data Developer Resume

Headline : To obtain a position as a Big Data Developer. Over 8years of professional IT experience in Business Analysis, and Implementation of various client-server and decision support system environments with a focus on Big Data, Business Intelligence, and database applications.

Skills : 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.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor Of Engineering


Big Data Developer Resume

Summary : Over 7+ years of experience in the IT industry with a strong emphasis on object-oriented analysis, ETL Design, Development and Implementation. Seeking the position of Big Data Developer.

Skills : NoSQL, Machine Learning and Data Mining, Statistical and Quantitative Analysis.

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. Expertise in Unix/Linux Shell Scripting.
    3. Responsible for SDLC Technical Writing/Requirements Gathering and Documentations.
    4. Expertise 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 Resume

Headline : To design, document, and review technical specifications with the Technical Leads, Architects, and development team and ensure the objectives and requirements are met while aligning with architectural direction and strategy.

Skills : Python, Data Analysis, RDBMS, Data Analysis.

Description :

    1. Provided an archival process to remove stale data, add failover redundancy, and gave 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 Resume

Headline : As a Big Data Developer, to support production and non-production environments with Operations and IT teams.10+ years of Progressive and innovative experience in the IT industry, including 3 years of extensive experience in the Hadoop Eco System. 

Skills : Data Processing, Data Ingestion, Ruby.

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. Configured 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. 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
Engineering

Big Data Developer Resume

Headline : Looking to pursue a career as a Big Data Developer. Over 3+ Years of experience in working with Big Data/Cloud Stack technologies. Strong knowledge of the 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 : Critical Thinking, Problem Solving SKills, Time Management Skills.

Description :

    1. Involved in start to end process of Hadoop jobs that used various technologies such as Sqoop, Pig, Hive, MapReduce, Spark, and Shell scripts.
    2. Assisted in upgrading, configuration, and maintenance of various Hadoop infrastructures like Pig, Hive, and Hbase.
    3. Improved the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN. 
    4. Developed SQL scripts using Spark for handling different data sets and verified the performance over Map Reduce jobs. 
    5. Automated workflows using shell scripts and Control-M jobs to pull data from various databases into Hadoop. 
    6. Effectively composed technical and non-technical documents such as design specifications, operation guides, process flows, and other technical schematics.
    7. Wrote and updated task/project status and reports.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
BS

Big Data Developer Resume

Objective : As a  Big Data Developer, to coordinate with a variety of IT departments to elicit and translate high-level business requirements into detailed system design and participate in the entire software development lifecycle which includes requirements, design, development, and executing test plans

Skills : Skills of Data Mining, Familiarity with Technologies, Java.

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. Built Hive tables using list partitioning and hash partitioning.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor Of Engineering

Big Data Developer Resume

Objective : Responsible for designing and implementing the Information Marketplace in accordance with the needs of the business and industry best practices and meet with representatives of the business to understand their processes and requirements and evaluate the implications of data integration. 

Skills : Programming Skills, Problem Solving Skills, SQL – Structured Query Language.

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. Implemented external tables and dynamic partitions using Hive.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Electronics Engineering

Senior Big Data Developer Resume

Objective : To contribute to the development and ongoing maintenance of a number of strategic data initiatives and data and analytic applications. Over 8 years of total experience in software development life cycle design, development and support of systems application architecture

Skills : Analytical Skills, Data Visualization Skills, Familiarity with Business Domain and Big Data Tools.

Description :

    1. Translated business requirements into working features.
    2. Mentored Big Data Developers on best practices and strategic development.
    3. Provided solutions to current (tactical) problems with permanent (strategic) answers.
    4. Carried out systematic problem identification, analysis, and resolution.
    5. Developed and documented technical design specifications.
    6. Lead technical meetings, as required.
    7. Conveyed ideas clearly and tailors communication-based on selected audiences.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
BS

Big Data Developer Resume

Objective : Seeking the position of Big Data Developer, responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics databases, and troubleshoots any existent issues.

Skills : SQL, Data Visualization, General Purpose Programming Languages.

Description :

    1. Designed, built, tested and deployed scalable systems to store, process, and retrieve high-rate event streams.
    2. Built systems and processes for Etling, enriching, alerting, and indexing high-rate event streams.
    3. Supported the Operations team in capacity planning and performance tuning for large scale systems.
    4. Implemented processes for applying data-analysis algorithms to event-streams.
    5. Performed engineer distributed and multi-tiered SAAS-based services.
    6. Worked independently and self-directed.
    7. Worked across teams to solve technical roadblocks for our customers.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
BS