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JPMorgan Software Engineer III - Oracle PL/SQL Developer AIML 
United States, New Jersey, Jersey City 
694341272

Yesterday

Job responsibilities

  • Creates, updates, and optimizes metrics and reports to support performance tracking and business decision-making for senior audiences.
  • Utilizes data visualization tools to design and implement interactive dashboards.
  • Develops and optimizes Oracle PL/SQL code.
  • Provides technical and business support and troubleshooting for multiple applications.
  • Helps design, manage, and optimize databases, applying advanced knowledge of database techniques.
  • Collaborates with Cross-Functional Teams and works closely with large, collaborative teams to achieve organizational goals and foster an innovative culture.
  • Has strong analytical and problem-solving skills to address complex technical challenges.
  • Keeps up to date with industry-wide technology trends and best practices to inform development and support activities.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands on experience writing Oracle PL/SQL
  • Advanced knowledge of database design, management, and optimization techniques
  • Proven experience in developing reports and metrics for senior audiences.
  • Working knowledge of Qlik, Tableau, Power BI, or other data visualization tool is preferred.
  • Proficiency in one or more modern objected oriented programming languages, preferably Python or Java
  • Possesses excellent communication skills to convey technical information clearly to both technical and non-technical stakeholders.
  • Proven problem solving and analytical skills.
  • Understanding of architecture and design across all systems
  • Understanding of software skills such as business analysis, development, maintenance, and software improvement

Preferred qualifications, capabilities, and skills

  • Experience in Privacy Enhancement Techniques (PETs), Cryptography and implementing them as product deliverables
  • Track record of Big Data specific infrastructure (e.g. Spark)
  • Experience integrating new tools/libraries into frameworks