Hadoop Developer Resume Examples and Templates

This page provides you with Hadoop Developer resume samples to use to create your own resume with our easy-to-use resume builder. Below you'll find our how-to section that will guide you through each section of a Hadoop Developer resume.

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Hadoop Developer Resume Sample and Template
Hadoop Developer Resume Sample and Template
Hadoop Developer Resume Sample and Template
Hadoop Developer Resume Sample and Template
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What do Hiring Managers look for in a Hadoop Developer Resume

  1. Hadoop Expertise: Strong knowledge and experience with Hadoop and related technologies, such as HDFS, MapReduce, Hive, and Spark.
  2. Programming Skills: Proficiency in programming languages commonly used with Hadoop, such as Java, Scala, or Python.
  3. Data Analysis: The ability to work with large datasets, perform data transformation, and extract valuable insights.
  4. Problem-Solving Abilities: Skill in troubleshooting Hadoop-related issues and optimizing cluster performance.
  5. Team Collaboration: Effective teamwork and communication to work with data scientists, analysts, and other stakeholders in the organization.

How to Write a Hadoop Developer Resume?

To write a professional Hadoop Developer resume, follow these steps:

  • Select the right Hadoop Developer resume template.
  • Write a professional summary at the top explaining your Hadoop Developer’s experience and achievements.
  • Follow the STAR method while writing your Hadoop Developer resume’s work experience. Show what you were responsible for and what you achieved as a Hadoop Developer.
  • List your top Hadoop Developer skills in a separate skills section.

How to Write Your Hadoop Developer Resume Header?

Write the perfect Hadoop Developer resume header by:

  • Adding your full name at the top of the header.
  • Add a photo to your resume if you are applying for jobs outside of the US. For applying to jobs within the US, avoid adding photo to your resume header.
  • Add your current Hadoop Development/Big data position to the header to show relevance.
  • Add your current city, your phone number and a professional email address.
  • Finally, add a link to your portfolio to the Hadoop Developer resume header. If there’s no portfolio link to add, consider adding a link to your LinkedIn profile instead.

Bad Hadoop Developer Resume Example - Header Section

Deandre 90 Foster Ave. Peabody, MA 01960 Marital Status: Married, email: cooldude2022@gmail.com

Good Hadoop Developer Resume Example - Header Section

Deandre Huff, Peabody, MA, Phone number: +1-555-555-5555, Link: linkedin/in/johndoe

Make sure to add a professional looking email address while writing your resume header. Let’s assume your name is John Doe - here is a formula you can use to create email addresses:

  • firstnamelastname@email.com - johndoe@email.com
  • firstname.lastname@email.com - john.doe@email.com
  • lastname.firstname@email.com - doe.john@email.com
  • f.lastname@email.com - j.doe@email.com
  • l.firstname@email.com - d.john@email.com
  • firstnamelastname12@email.com - johndoe12@email.com

For a Hadoop Developer email, we recommend you either go with a custom domain name (john@johndoe.com) or select a very reputed email provider (Gmail or Outlook).

How to Write a Professional Hadoop Developer Resume Summary?

Use this template to write the best Hadoop Developer resume summary: Hadoop Developer with [number of years] experience of [top 2-3 skills]. Achieved [top achievement]. Expert at [X], [Y] and [Z].

How to Write a Hadoop Developer Resume Experience Section?

Here’s how you can write a job winning Hadoop Developer resume experience section:

  • Write your Hadoop Developer work experience in a reverse chronological order.
  • Use bullets instead of paragraphs to explain your Hadoop Developer work experience.
  • While describing your work experience focus on highlighting what you did and the impact you made (you can use numbers to describe your success as a Hadoop Developer).
  • Use action verbs in your bullet points.

Hadoop Developer Resume Example

Hadoop Developer

  • Installed, configured, and maintained Apache Hadoop clusters, including tools like Hive, Pig, HBase, Zookeeper, and Sqoop.
  • Managed data migration from Teradata to the NextGen environment (Hadoop).
  • Developed scripts to compare files between Teradata and Hive.
  • Wrote Hive queries (HQL) for data analysis, validation, and verification.
  • Created Hive tables, loaded data with partitioning and bucketing.
  • Implemented data ingestion and transformation workflows in Hive and Oozie with Cloudera.
  • Developed Oozie workflows for executing SQOOP scripts and inserting data into Hive tables.
  • Monitored Oozie workflow jobs in the Production environment.
  • Developed Hive APIs using Python and handled JSON data.
  • Processed real-time data using Spark streaming.
  • Utilized Hive for data transformations, event joins, grouping, and pre-aggregations before storing data in HDFS.
  • Proficient in BI tools like QlikView and Tableau for generating business insights.
  • Environment: Hue, Hive, Sqoop, Teradata, Accurev, MySQL, Putty, WinSCP, Ubuntu, Zookeeper.

Hadoop Developer Resume Example

Hadoop Developer

  • Extracted daily raw data from Oracle database and Sqooped it into the raw layer in HDFS.
  • Loaded the extracted data into the staging layer using Apache Kudu tables.
  • Ran Spark jobs to load the data into Upsert tables in Amazon Redshift.
  • Conducted Data Quality checks between the Source and Target tables in Redshift.
  • Implemented daily backup of tables using Oozie.
  • Automated the loading of metadata related to workflow runs into the database for audit purposes.
  • Managed inventory data for report generation using PowerBI.

Hadoop Developer and Data Quality Analyst Resume Example

Hadoop Developer and Data Quality Analyst

  • Led the company's data processing strategy from data extraction to workflow level logging in MySQL environment.
  • Developed key data modules for data quality checks across different layers.
  • Imported data from MySQL to HDFS using Sqoop.
  • Developed DOC Interface scripts for daily data extraction and sending as attachments in Oozie.
  • Wrote Hive queries for data loading and processing in Hadoop File System.
  • Created Hive tables, loaded them with data, and wrote Hive queries for internal map reduce processing.
  • Utilized Impala for data retrieval in the Cloudera platform.
  • Prepared result summaries in both numerical and graphical formats.

Hadoop Developer Resume Example

Hadoop Developer

  • Managed data extraction, transformation, and loading using Informatica from source to target systems.
  • Designed Informatica mappings to meet business requirements and adhere to standards.
  • Created sessions in Informatica Workflow Manager and monitored them using Informatica Monitor.
  • Analyzed and resolved production issues related to data.
  • Utilized UNIX for system navigation, file checks, content inspection, and permission changes.
  • Imported data from MySQL to HDFS using Sqoop.
  • Wrote Hive queries for data loading and processing in Hadoop File System, utilizing internal map reduce processing.
  • Worked with the Tez engine for data retrieval processes.
  • Developed dataflows for geographic information systems.
  • Loaded files into HDFS and wrote Hive queries for data analysis.
  • Managed all data processing steps for data analysis.

Hadoop Developer Resume Example

Hadoop Developer

  • Interacted with clients to understand business requirements and performed impact analysis for enhancements.
  • Designed ETL scripts to meet business requirements.
  • Supported Ariba P2P Datastage jobs.
  • Conducted a Proof of Concept (POC) for the migration of Sears Home Services reporting data from Teradata to Hadoop.
  • Conducted a POC for migrating Greenplum Data Warehouse data and ETL processes to the Hadoop cluster.
  • Modified Goldengate extracts processes to encrypt data in compliance with PCI standards.
  • Enhanced Sears Home Services Business Intelligence applications.
  • Gathered business, system, and environmental requirements from SH analysts.
  • Estimated enhancements and change requests.
  • Prepared test specifications and system test plans.
  • Provided migration approach and POC for HS Parts data using Hadoop.
  • Performed POC for migrating Home Services ETL to Hadoop environment using Pig, Hive, and Sqoop.
  • Installed, upgraded, and configured the Goldengate software.
  • Identified and led continuous improvements in the Change process for service stability.
  • Participated in CAB Meetings.
  • Played a key role in developing the Known Error Database (KEDB).
  • Analyzed historical data to identify and eliminate potential incidents.
  • Identified underlying causes of incidents and prevented recurrences.
  • Conducted knowledge transfer (KT) sessions on the Hadoop framework and Map Reduce Algorithm.

Hadoop Developer Resume Example

Hadoop Developer

  • Proficient in major components of the Hadoop Ecosystem, including HDFS, HIVE, PIG, Oozie, Sqoop, Map Reduce, and YARN.
  • Skilled in setting up Hadoop Clusters and developing scripts and batch jobs to schedule various Hadoop programs.
  • Experienced in importing and exporting data from different databases like Oracle and MySQL into HDFS and Hive using Sqoop.
  • Proficient in collecting and storing streaming data, such as log data, in HDFS using Flume.
  • Expertise in writing Hive and PIG queries for data analysis to meet business requirements.
  • Involved in creating tables, partitioning, bucketing tables, and creating UDFs (User-Defined Functions) in Hive.
  • Experienced in performance tuning of Hive queries.
  • Well-versed in implementing join operations using PIG Latin.
  • Skilled in writing data transformations and performing data cleansing using PIG operations.
  • Proficient in using the Oozie Workflow Engine to automate and parallelize Hadoop Map/Reduce, Hive, and PIG jobs.
  • Experienced in shell scripting for ingesting files into HDFS.
  • Knowledgeable in Agile methodology.

Top Hadoop Developer Resume Skills for 2023

  1. Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig, HBase, etc.)
  2. Java Programming
  3. Apache Spark
  4. SQL and NoSQL Databases
  5. Data Ingestion
  6. Data Transformation
  7. Data Processing
  8. Data Warehousing
  9. Big Data Technologies
  10. Cluster Management
  11. Data Analytics
  12. Scripting Languages (e.g., Python, Scala)
  13. ETL (Extract, Transform, Load) Processes
  14. Data Modeling
  15. Data Quality Assurance
  16. Data Integration
  17. Distributed Systems
  18. Hadoop Administration
  19. Hadoop Security
  20. YARN (Yet Another Resource Negotiator)
  21. Hadoop Monitoring Tools
  22. Version Control (e.g., Git)
  23. Data Visualization Tools (e.g., Tableau)
  24. Cloud Platforms (e.g., AWS, Azure, GCP)
  25. Performance Tuning
  26. Shell Scripting
  27. Linux/Unix Operating Systems
  28. Troubleshooting
  29. Batch Processing
  30. Real-time Data Processing
  31. Hadoop Best Practices
  32. Data Serialization (e.g., Avro, Parquet)
  33. Hadoop Job Optimization
  34. Data Partitioning
  35. Data Encryption
  36. Data Backup and Recovery
  37. Hadoop ETL Frameworks (e.g., Apache Nifi)
  38. Database Administration
  39. RESTful API Integration
  40. Hadoop Cluster Deployment
  41. Machine Learning Frameworks (e.g., TensorFlow, PyTorch)
  42. Data Compression Techniques
  43. Data Storage Optimization
  44. Resource Management
  45. Agile Development Methodologies
  46. Communication Skills
  47. Project Management
  48. Problem Solving
  49. Team Collaboration
  50. Documentation and Reporting

How Long Should my Hadoop Developer Resume be?

Your Hadoop Developer resume length should be less than one or two pages maximum. Unless you have more than 25 years of experience, any resume that’s more than two pages would appear to be too long and risk getting rejected.

On an average, for Hadoop Developer, we see most resumes have a length of 2. And, that’s why we advise you to keep the resume length appropriate to not get rejected.

Hadoop Developer Resume Sample and Template
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