Hadoop Developer
Job Description
Experis’ client is hiring a Hadoop Developer for a hybrid engineering role in Charlotte, NC (3 days onsite).
Responsibilities
- Design and develop solutions based on complex requirements to support business outcomes while meeting functional, non-functional, and compliance needs.
- Participate in story refinement and help clarify requirements across the delivery lifecycle.
- Estimate effort for stories/requirements and run spike or proof of concept activities to reduce risk and validate new ideas.
- Implement code and unit tests aligned to acceptance criteria, with a focus on maintainability and straightforward integration and testing.
- Build and maintain automated test suites including integration, regression, and performance testing to support reliable releases.
Requirements
- Strong database fundamentals and SQL skills.
- Working understanding of the Hadoop Big Data ecosystem.
- Experience writing Shell scripts on Linux/Unix.
- Hands-on experience with Hadoop and related tooling, including:
- Hadoop/Spark
- Using Pig and Hive (including running Hive queries and analyzing data with Hive)
- Using Oozie
- Experience with data movement and processing, including:
- Sqoop for importing/exporting between HDFS and relational databases
- Developing MapReduce programs to format data
Technologies
- Hadoop
- Hadoop/Spark
- Pig
- Hive
- Oozie
- Linux/Unix
- Shell scripts
- Sqoop
- HDFS
- MapReduce
- SQL
Benefits
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), plus match
- Weekly Pay
Location: Charlotte, NC (Hybrid: 3 days onsite)
Pay Range: $60-$65 per hour