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JPMorgan Manager Software Engineering - Data Delivery 
United States, Ohio, Columbus 
521847094

31.08.2024

Job responsibilities

  • Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.
  • Manage risk associated with data use, data retention / destruction and data privacy.
  • Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.
  • Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
  • Produce high quality code utilizing Test Driven Development techniques.
  • Participate in retrospectives to drive continuous improvement within the feature team.
  • Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
  • Implement Automation: Continuous Integration and Continuous Delivery.
  • Manage Cloud Development and Deployment: Support development and deployment of applications into Private and Public clouds.
  • Manage a team of software engineers and build a team of diverse individuals and technologists.
  • Conduct regular touch points with direct reports, provide timely feedback and build a culture of high performing team.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • Advanced knowledge of architecture, design and business processes
  • Full Software Development Life Cycle experience within an Agile framework
  • Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio.
  • Experience with the development and decomposition of complex SQL (RDMS Platforms)
  • Experience with Data Warehousing concepts (including Star Schema)
  • Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices
  • Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
  • Familiar with multiple Data & Analytics technology stacks
  • Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
  • Experience with one or more leading cloud providers (AWS/Azure/GCP)

Preferred qualifications, capabilities, and skills

  • Ability to work fast and quickly ramp up on new technologies and strategies.
  • Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
  • Appreciation of Controls and Compliance processes for applications and data.
  • In depth understanding of data technologies and solutions is preferable.
  • Drive Process improvements and implement process changes as necessary.
  • Knowledge of industry-wide Big Data technology trends and best practices