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Urgent! Software Engineer II - Big Data, Data Analytics Job Opening In Columbus – Now Hiring JPMorgan Chase & Co.

Software Engineer II Big Data, Data Analytics



Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.


Job responsibilities

  • Responsible for 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 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 AWS Public clouds.
  • Required qualifications, capabilities, and skills.

  • Formal training or certification on software engineering* concepts and 3+ 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 or Informatica.

  • 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 (.

    Python, data mining, predictive analytics, machine learning, data modelling,
  • 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

  • Required Skill Profession

    Computer Occupations



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