drjobs Lead Software Engineer - Abinitio

Lead Software Engineer - Abinitio

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1 Vacancy
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Job Location drjobs

Columbus - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Description

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


Employment Type

Full-Time

Company Industry

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