Summary: A Hadoop developer is responsible for the design, development and operations of systems that store and manage large amounts of data.

IT Developers are responsible for development, programming, coding of Information Technology solutions. IT Developers are responsible for documenting detailed system specifications, participation in unit testing and maintenance of planned and unplanned internally developed applications, evaluation and performance testing of purchased products. IT Developers are responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. IT Developers are assigned to moderately complex development projects.

• Write code for moderately complex system designs; Write programs that span platforms; Code and/or create Application Programming Interfaces (APIs).
• Write code for enhancing existing programs or developing new programs.
• Review code developed by other IT Developers.
• Provide input to and drive programming standards.
• Write detailed technical specifications for subsystems; Identify integration points.
• Report missing elements found in system and functional requirements and explain impacts on subsystem to team members.
• Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers and vendors.
• -Scope- time, resources, etc., required to complete programming projects; Seek review from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates.
• Perform unit testing and debugging; Set test conditions based upon code specifications; May need assistance from other IT Developers and team members to debug more complex errors.
• Most Hadoop developers have a computer software background and have a degree in Information Systems, Software Engineering, Computer Science, or Mathematics.
• 8 years of related work experience or equivalent combination of transferable experience and education.
• IT development/programming/coding professional within a Hadoop environment.
• Experience with Agile Methodology.
• HADOOP
• Spark