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Tier-1 brand, mid-level generalist role, metro location, and popular big-data skillset increase applicant density.
Big-data engineering skills are transferable across industries but require domain-specific Hadoop and Oracle expertise.
Explicit 5-8 year requirement and mandatory Hadoop/Hive/Impala/Oracle skills make filters stringent.
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Contribute to application systems analysis, development, enhancement, and programming within the Technology team, focusing on Big Data and Oracle database environments.
Consult and collaborate with users, clients, and technical groups to recommend and implement programming solutions and system enhancements.
Provide advisory support, mentoring junior analysts, and serve as a subject matter expert for senior stakeholders with limited supervision.
5-8 years of demonstrable experience with Hadoop and core components including Hive, Impala, and Sqoop.
Extensive experience with Oracle Database including SQL, PL/SQL, query tuning, and performance optimization.
Bachelor’s degree or equivalent experience.
Strong analytical and problem-solving skills with the ability to debug and optimize code.
Experienced in developing and enhancing large-scale Big Data applications within financial or technology sectors.
Capable of operating autonomously and exercising independent judgment while advising senior stakeholders.
Skilled in bridging complex technical concepts with non-technical stakeholders through effective communication.