HADOOP DEVELOPER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: May 5, 2025 – The Hadoop Developer has experience in full software development and project life cycles, specializing in Hadoop ecosystem technologies such as Hbase, Hive, Spark, Scala, and Python. This role requires skills in data modeling, ETL/ELT framework design, data integration, and performance tuning across large datasets with strong hands-on programming expertise in UNIX shell, Perl, and JavaScript. The developer is also proficient in implementing end-to-end DW/BI projects, maintaining data quality, conducting impact analysis, and effectively communicating complex solutions to technical and business teams.
Essential Hard and Soft Skills for a Standout Hadoop Developer Resume
- Hadoop
- MapReduce
- Hive
- Pig
- HDFS
- HBase
- Spark
- Sqoop
- Flume
- Oozie
- Problem-solving
- Critical Thinking
- Communication
- Teamwork
- Adaptability
- Attention to Detail
- Time Management
- Creativity
- Analytical Skills
- Collaboration
Summary of Hadoop Developer Knowledge and Qualifications on Resume
1. BS in Data Science with 2 years of Experience
- Experience in Hadoop ecosystem, i.e., Hive, Spark, Scala, or Java.
- Experience in event-based architecture and messaging framework (Confluent Kafka, KSQL, Kafka Connect)
- Experience in Project life cycle activities on development and maintenance projects on a database platform (SQL Server)
- Experience in impact analysis due to changes or issues
- Experience in preparing test scripts and test cases to validate data and maintain data quality
- Hands-on programming/scripting experience skills, including UNIX shell, Perl, and JavaScript
- Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
- Knowledge of the Financial Domain and Real-time Payment network
- Work exposure in Agile projects.
- Ability to work in a team in a diverse/multiple stakeholder environment with strong written and oral communication skills
- Must have excellent analytical skills with extreme attention to detail
- Experience and desire to work in a global delivery environment
- Ability to learn from mistakes and apply constructive feedback to improve performance
- Must demonstrate initiative and effective independent decision-making skills
2. BS in Information Systems with 4 years of Experience
- Experience with Finance and Banking with Hadoop
- Experience in Cloudera Hadoop and Apache (Impala, Hive, Pig, Sqoop, SPARK, Flume, YARN, etc)
- Experience working as a data lead on large data warehouses
- Proven design/development/Testing experience
- Skilled at solving Data Warehouse and data access problems
- Proven experience with Java and shell, and PERL scripting
- Familiarity developing within HADOOP platforms
- Deep understanding and experience using BI Tools
- ETL and ELT design experience with emphasis on performance, scalability, and maintainability
- Agile and waterfall project methodology experience on BI/Data Warehousing projects
- Ability to handle multiple and simultaneous activities and priorities.
- Ability to lead and organize the work of other developers
- High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy
- Strong interpersonal/influence skills, proactive leadership skills, and analytical and problem-solving skills
3. BS in Computer Engineering with 7 years of Experience
- Experience in the software development life cycle
- Experience in Project life cycle activities on development and maintenance projects
- Experience in Hadoop ecosystem, i.e., Hadoop, Hbase, Hive, Scala, SPARK, Sqoop, Flume, Kafka, Python
- Experience in Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data
- Good experience in end-to-end implementation of DW BI projects, especially in data warehouse and mart developments
- Good understanding of Data integration, Data Quality, and data architecture
- Experience with Big Data Technologies
- Good expertise in impact analysis due to changes or issues
- Experience in preparing test scripts and test cases to validate data and maintain data quality
- Strong understanding and hands-on programming/scripting experience skills – UNIX shell, Perl, and JavaScript
- Experience with the design and implementation of ETL/ELT frameworks for complex warehouses/marts.
- Knowledge of large data sets and experience with performance tuning and troubleshooting
- Hands-on development, with a willingness to troubleshoot and solve complex problems, CI/CD exposure
- Strong written and oral communication skills, and able to communicate complex technology solutions to diverse teams, namely, technical, business, and management teams