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Mid-level Big Data role at large bank in metro location with common skills attracts many applicants.
Core Big Data engineering skills are transferable, though banking credit-risk familiarity increases domain bias.
Mandatory 5+ years plus Spark/Scala and FitNesse experience enforces strict technical filtering.
Develop and deliver Big Data solutions (primarily Spark/Scala) adhering to application standards and maintaining robustness and maintainability.
Collaborate closely with Business Analysts to realize User Stories and validate Technical Architectures.
Communicate effectively across multi-geographical teams and assist in running UAT environments and resolving operational issues.
5-6+ years of development experience in Big Data technologies, specifically Spark and Scala.
Extensive experience working with FitNesse.
Familiarity with Agile environments, including Jira and Scrum.
Work Experience Required: 5-6+ years in Big Data development.
Experienced developer comfortable partnering with stakeholders to improve applications and deliver value.
Skilled in handling credit risk topics in the banking domain (RWA, rating models) is a plus.
Able to work independently, handle technical escalations, and thrive in cross-cultural, multi-location teams.