Lead Software Engineer

1 day ago

Columbus, Ohio, United States JPMorgan Chase Full time $120,000 - $250,000 per year

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.

Job Responsibilities

  • Oversee all aspects of data strategy, governance, data risk management, reporting and analytics.
  • Work with product owners, data owners and customers to evaluate data requirements and identifying 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 with in the feature team.
  • Participate 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 AWS Public clouds.  

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ 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 Abinitio, Informatica, Spark, and Python.
  • 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)
  • 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

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