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JPMorgan Data Engineer III - Cybersecurity Technology Resiliency 
United States, Delaware, Wilmington 
531548125

11.03.2025

Job responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
  • Updates logical or physical data models based on new use cases
  • Utilize SQL and understands NoSQL databases and their niche in the marketplace
  • Manage & optimize databases for performance and efficiency.
  • Design & build data pipelines that clean, transform, and aggregate data from disparate sources.
  • Develop new models that can be used to make predictions and answer questions for the overall business.
  • Contribute to a team culture that values diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and 3+ years applied experience.
  • Experience across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Experience with data structures, such as NoSQL, OTF, and RDMS.
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product
  • Experience with various database technologies, such as MySQL, PostgreSQL, and MongoDB.
  • Experience with analytics engines/platforms, such as Apache Spark and Hadoop.
  • Experience with data migration and mapping complex relational data between business systems.
Preferred qualifications, capabilities, and skills
  • Degree, or equivalent practical experience, in Computer Science, Information Systems, Data Science, or a related field.
  • Exceptional analytical skills with the ability to translate business requirements into data engineering solutions.
  • Experience of data science methods including statistical and analytical techniques.
  • Experience in Data Mining techniques used in data science and data analytics.
  • Excellent problem-solving abilities, attention to detail, and ability to work independently or in a team.
  • Effective communication and interpersonal skills to foster relationships with stakeholders at all levels.
  • Advocate for driving efficiencies, stabilization, and continuous improvement.