Spark Engineer - IT Convergence

• Work on development initiatives as part of a scrum team on sprint cycles.
• Closely interact with our stakeholders (Product Owners/Managers, Business Analysts, others) for clarity on sprint items and for verification of developed solutions.
• Participate in team activities such as sprint grooming sessions, project or product discussions, brown bags.
• Follow appropriate coding standards and best practices as applicable. Document your work well.
• Participate in code reviews for your peers. Collaborate with your peers for finding solutions to complex problems. Share knowledge with your peers and also learn from them as required.
• Work on operational and production support for the applications we build and maintain.
• Work towards quarterly team and organizational goals that should be result oriented and measurable.

 
Qualifications:

•  5+ years of overall experience in software development.
• Strong data engineering experience with demonstrable skills building data pipelines from structured and semi-structured data sources, data cleansing, formatting and storing data into reporting tables.
• Strong scripting experience using Python/Perl/Shell.
• Strong programming experience with Java.
• Strong experience with relational database systems such as Oracle, MySQL.
• Strong demonstrable experience working on realtime data pipelines using technologies such as Kafka and Storm.

 
 Preferred Qualifications -

•  Experience with big data technologies - HDFS, Pig, Hive, Oozie, HBase, Spark etc.
• Experience working with RESTful APIs.

Note: We're working on identifying replacement candidates as the renewal bill rate hits soon (lowered to $116). Revised bill rate below. Focus is on FTEs and other backups as they come including CWs for now.