Hadoop Application Developer

Critique and evaluate detailed business, functional, and high-level technical requirements (including recovery, security and audit).

Evaluates detailed technical design components and acts as a referral expert in appropriate languages, data structures, vended packages, techniques and design methods.

Design solutions for high-complexity projects.

Ensure that design reviews are scheduled and executed. Provide feedback and recommends solutions. Ensure that design standards and documentation are followed.

Assist with detailed project estimating and milestone planning. Review and validate accuracy of others
** estimates and works with project managers in continuous process improvement for estimating.

Contribute to determining programming approach, tools, and techniques that best meet the business requirements. Promote and define development standards.

Perform coding of complex modules, as needed.

Ensure project change management approach is followed and that enhancements are appropriately prioritized and developed, and all documentation is completed appropriately.

Act as technical expert for Band B and Band C level application developers.

Ensure code review is conducted and certify that code meets quality standards. Reviews and critiques code presented by team members and ensures code review is conducted and certifies that code meets quality standards.

Lead and organize testing reviews. Track and resolve complex defects and assists in planning efforts of complex functional and automated tests in support of Quality Control

Define and manage process by which support and technical assistance is performed.

Performs root cause analysis to prevent recurrence of problem and manages the resolution of complex problems.

Ensure delivery of change management activities supporting production deployments to Developers, Quality Control Analysts, and Environment Management personnel

Review application configuration.

• Analytical and problem solving skills, applied to a Big Data environment
• Experience with large-scale distributed applications
• Proven understanding and related experience with Hadoop, HBase, Hive, Pig, Sqoop, Flume, Hbase and/or Map/Reduce
• Hands‑on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Puppet)
• Hands‑on experience with ETL (Extract-Transform-Load) tools (e.g Informatica, Talend, Pentaho)
• Hands‑on experience with BI tools and reporting software (e.g. Business Objects)
• Sound knowledge of Relational Databases (RDBMS), SQL & No-SQL databases
• Experience with agile/scrum methodologies to iterate quickly on product changes, developing user stories and working through backlog
• Prefer experience with Cloudera Hadoop distribution components and custom packages

• Minimum of 2 year of hand‑on experience programming on Hadoop
• Minimum of 4 years systems development and implementation experience

• Implementation of ETL applications
• Implementation of reporting applications
• Application/implementation of custom analytics
• Administration of relational databases
• Data migration from existing data stores