Senior Hadoop Developer Resume Samples

A Senior Hadoop Developer is accountable for the actual coding and programming of various Hadoop applications. Even though the role is similar to that of a software developer, the following are certain core tasks seen on the Senior Hadoop Developer Resume – Hadoop development and implementation; loading from disparate data sets; pre-processing using Hive and Pig; translating complex functional and technical requirements into detailed design; maintaining security and data privacy; creating scalable and high-performance web services, and testing prototypes and overseeing handover to operational teams;

The nature of the job demands the following skills – knowledge in Hadoop; good understanding in back-end programming mainly Java, JS, Node.js and OOAD; the ability to write high-performance and maintainable codes; good knowledge of database structures and theories; the ability to write Pig Latin scripts; hands-on experience in HIveQL, and familiarity with data loading tools. A degree in Computer Science is a mandatory requirement.

Senior Hadoop Developer Resume example

Senior Hadoop Developer Resume

Headline : Senior Hadoop Developer with 8+ years of experience in analysis, design, development and implementation of large-scale web-based applications using Big Data, Hadoop, Spark, NiFI, Map-Reduce, Storm, HIVE, HBase, Core Java, J2EE and related Technologies. Experience and strong knowledge on Apache Spark.

Skills : MS Word, Knowledge of hadoop.

Description :

    1. Responsible for building scalable distributed data solutions using Hadoop.
    2. Involved in Design, development, implementation and documentation in various big data technologies.
    3. Designed and Developed of adapters to inject and eject data from various data source to/from Kafka.
    4. Designed and developed of HBase tables according to various needs of the tenants while taking into consideration various issues related to performance.
    5. Documented the process of designing and developing the HBase tables.
    6. Interacted with various business teams to document the requirements for HBase tables.
    7. Developed Spark applications to move data into HBase tables from various sources like Relational Database or Hive.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor Of Engineering


Senior Hadoop Developer III Resume

Summary : Over 8 years of software development experience which includes 5 years on Big Data Technologies like Hadoop, Hive, Pig, Sqoop, Hbase, Flume and Spark. Expert in working with Hive data warehouse tool-creating tables, data distribution by implementing partitioning and bucketing, writing and optimizing the HiveQL queries.

Skills : JDK1.6/1.7, 2EE 1.5, C, JAVA, SQL, PIG LATIN, Bash.

Description :

    1. Managed and reviewed Hadoop log files, File system management and monitoring.
    2. Involved in Cluster upgrade and required jobs are modified.
    3. Involved in implementing security on Hadoop Cluster with Kerberos by working along with operations team to move non secured cluster to secured cluster.
    4. Used Hive data warehouse tool to analyze the data in HDFS and developed Hive queries.
    5. Experienced on loading and transforming of large sets of structured, semi structured and unstructured data from HBase through Sqoop and placed in HDFS for further processing.
    6. Monitored Hadoop scripts which take the input from HDFS and load the data into Hive.
    7. Developed MapReduce programs to parse the raw data, populate tables and store the refined data in partitioned tables.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Bachelors


Senior Hadoop Developer II Resume

Summary : A dynamic professional with 71/2 years of diversified experience in the field of Information Technology with an emphasis on Big Data Ecosystem and Java/J2EE Technologies and tools using industry accepted methodologies and procedures. 4 years of proven track record of Big Data experience in ingestion, storage, querying, processing and analysis.

Skills : Hadoop, Map Reduce, HDFS, Zookeeper, Kafka,Hive, Pig, Sqoop, Oozie, Flume, Yarn, HBase, Spark With Scala, SQL, PL/SQL, Oracle,C, Java,EJB, JMS,XML, HTML And DHTML, Eclipse, Net Beans, RStudio,Windows, Linux , Unix,Apache Tomcat, Web Sphere, Web Logic,Agile, Waterfall.

Description :

    1. Involved in full life cycle of the project from Design, Analysis, logical and physical architecture modeling, development, Implementation, testing.
    2. Developed multiple POCs using Scala and Deployed on the Yarn Cluster, compared the performance of Spark, with Cassandra and SQL.
    3. Extracted files from NoSQL database (MongoDB), HBase through sqoop and placed in HDFS for Processing.
    4. Analyzed the Cassandra/SQL scripts and designed the solution to implement using Scala.
    5. Experienced in installing, configured and used Hadoop Ecosystem components.
    6. Experienced in Importing and exporting data into HDFS and Hive using Sqoop.
    7. Loaded and transformed large sets of structured, semi structured and unstructured data.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Bachelors

Senior Hadoop Developer I Resume

Summary : Looking for an experienced Senior Hadoop Developer who has strong experience in Solution/Data and Integration Architecture. The ideal candidate will understand Data Governance, Data Lakes, Data Warehousing, BI, Data Services Layer etc. and hands-on technical skills in designing, developing and implementing large-scale Big Data solutions. This individual will have the ability to advise business users/clients and to work as a key member of the delivery team.

Skills : MS Word, Knowledge of Hadoop.

Description :

    1. Worked on was aimed at developing an analytical platform for big data analytics.
    2. Installed and configured Hadoop Map Reduce, HDFS, Developed multiple Map Reduce jobs in Java for data cleaning and preprocessing.
    3. Supported Map Reduce Programs those are running on the cluster.
    4. Supported Map Reduce Programs those are running on the cluster.
    5. Provided technical leadership on Big Data technologies to development team by designing solutions and blue prints for large projects and guiding them on their day to day work.
    6. Determined specifications, then plan, design complex software solutions, utilizing appropriate big data tools and technologies
    7. Recommended programming and development, standards and procedures for application teams.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Bachelor Of Technology

Assistant Senior Hadoop Developer Resume

Summary : Over 5+ years of in a combination of relevant Big Data/Analytics areasGood Understanding of underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)Expertise in Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Yarn, Kafka, Pig, Oozie, HBase, Sqoop, Spark, Solr/Elastic Search etc.

Skills : MS Word, Working experience in HQL.

Description :

  • Responsible for the ingestion, maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics databases. The ability to troubleshoot any existent issues will be a big plus
  • Designed, built and launched extremely efficient & reliable data pipelines to move data (both large and small amounts) to our data warehouses
  • Designed, built and launched new data extraction, transformation and loading processes in production
  • Created new systems and tools to enable the customer to consume and understand data faster
  • Built, implemented and supported the data infrastructure; ingest and transform data (ETL/ELT process).
  • Defined and built large-scale near real-time streaming data processing pipelines that will enable faster, better, data-informed decision making within the business.
  • Worked inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale.
Years of Experience
Experience
10+ Years
Experience Level
Level
Senior
Education
Education
Electronics Engineering

Associate Senior Hadoop Developer Resume

Summary : Experience and qualifications we hope you bring to the Senior Big Data Engineer position, Bachelors Degree with a minimum of 7+ years relevant experience or equivalent, 4+ years of hands-on experience in Java/J2EE.

Skills : Familiarity with Hadoop ecosystem and its components obviously, a must, Ability to write reliable, manageable, and high-performance code.

Description :

  • Developed technical & domain expertise and apply to solving product challenges and the design/develop of sound data models
  • Created clear and concise documentation for all the work performed including design documents, architecture documents, technical notes, internal application notes, bug fixes, etc.
  • Ability to manage priorities, tight deadlines while maintaining highest quality standards
  • Acted occasionally as a SME supporting knowledge share with less experienced developers
  • Guided clients and project leaders to define and document project specifications
  • Designed, developed, tested, and implemented data analytics or business intelligence solutions, both functionally and technically.
  • Managed all activities for existing software within the Data Analytics practice.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Electronics Engineering

Senior Hadoop Developer/Engineer Resume

Summary : Technically accomplished professional with 7+ years of total experience in Software Development and Requirement Analysis in Agile work environment and 4 years of Big Data Eco Systems experience in ingestion, storage, querying, processing and analysis of Big Data. In-depth knowledge and hands-on experience in dealing with Apache Hadoop components like HDFS, MapReduce, HiveQL, HBase, Pig, Hive, Sqoop, Oozie, Cassandra, Flume, and Spark.

Skills : Expertise knowledge of Hadoop, Hive, HBase, and Pig, Working experience in HQL.

Description :

    1. Worked on analyzing, writing Hadoop MapReduce jobs using JavaAPI, Pig and Hive.
    2. Responsible for building scalable distributed data solutions using Hadoop.
    3. Involved in loading data from edge node to HDFS using shell scripting.
    4. Worked on installing cluster, commissioning & decommissioning of DataNode, NameNode high availability, capacity planning, and slots configuration.
    5. Created HBase tables to store variable data formats of PII data coming from different portfolios.
    6. Handled structured and unstructured data and applying ETL processes.
    7. Collected the logs data from web servers and integrated in to HDFS using Flume.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Computer Science & Engineering

Assistant Senior Hadoop Developer I Resume

Summary : Over all 9+ years of experience in IT industry which includes 3 years of experience in Big Data and Hadoop Ecosystem tools. 6 years of experience in JAVA programming with various technologies like Java, JavaScript and Data Structures and Legacy system - Mainframes. Excellent working knowledge of HBase and data pre-processing using FLUME.

Skills : Working experience in HQL, Experience of writing Pig Latin Scripts and MapReduce jobs.

Description :

    1. Collected and stored 100s of sensor data points from thousands of trucks, plus lots of geo data.
    2. Installed and configured MapReduce, HIVE and the HDFS; implemented CDH3 Hadoop cluster on CentOS.
    3. Imported data from MySQL into HDFS using Sqoop, Exporting data from HDFS into MySQL using Sqoop.
    4. Configured Sqoop for Microsoft SQL Server.
    5. Exporting data from HDFS into SQL DB, Importing data from SQL DB into HDFS.
    6. Exported data from HDFS into Mongo DB using Pig.
    7. Downloaded the sensor data and load that into HDFS.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Masters In Computer

Associate Senior Hadoop Developer I Resume

Headline : Result-oriented software developer with more than 8+years of experience, passionate about learning new technologies with an aim to solve real world problems. An avid learner, good at taking initiatives. Excellent understanding of Hadoop Architecture and its components like HDFS, Name Node, Data Node, Job Tracker, Task Tracker and Map Reduce.

Skills : Ability to write reliable, manageable, and high-performance code, Hadoop knowledge.

Description :

    1. Developed data pipeline using Flume, Sqoop, Pig and Java map reduce to ingest customer behavioral data and financial histories into HDFS for analysis.
    2. Involved in writing MapReduce jobs.
    3. Involved in SQOOP, HDFS Put or CopyFromLocal to ingest data.
    4. Used Pig to do transformations, event joins, filter both traffic and some pre-aggregations before storing the data onto HDFS.
    5. Involved in developing Pig UDFs for the needed functionality that is not out of the box available from Apache Pig.
    6. Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting.
    7. Involved in developing Hive DDLs to create, alter and drop Hive TABLES.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Computer Science

Senior Hadoop Developer Resume

Summary : Over 4+ Years of Big Data Hadoop Ecosystems experience in ingestion, storage, querying, processing and analysis of big data. Experience in working with Hadoop clusters using Cloudera (CDH3) distributions.

Skills : Working experience in HQL., Knowledge on Hadoop.

Description :

    1. Responsible for the configuration and implementation of the entire Big Data stack for the project.
    2. Lead a team of developers within projects to ensure that timelines and deliverables are met.
    3. Oversaw time reporting accuracy and technical management of projects.
    4. Performed code reviews and ensures adherence to standards.
    5. Worked with architects and business leaders, design the applications to meet stated business and technical goals using Orzota’s pre-built solutions and solution accelerators and appropriate technologies such as Hadoop, Spark, Kafka, Cassandra, Tableau, BI tools, etc.
    6. Worked with QA team to provide knowledge and understanding of applications and modules for proper test development by them.
       
       
Years of Experience
Experience
10+ Years
Experience Level
Level
Senior
Education
Education
Computer Science & Engineering