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Software Engineer III - Java/Python/Databricks/AWS
Software Engineer III - Java/Python/Databricks/AWSChase • New York, NY, US
Software Engineer III - Java / Python / Databricks / AWS

Software Engineer III - Java / Python / Databricks / AWS

Chase • New York, NY, US
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  • [job_card.full_time]
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Software Engineer III

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 :

  • Acquire and manage data from various sources and storage systems
  • Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms
  • Implement new or enhance existing services and components using both object-oriented and functional programming
  • Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
  • Executes standard software solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required Qualifications, Capabilities, and Skills :

  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions
  • Experience with either AWS, Databricks or Snowflake
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Demonstrable ability to code in one or more languages
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI / CD, Application Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
  • Preferred Qualifications, Capabilities, and Skills :

  • Experience in AI is a plus
  • Proficiency in both Python and Java is a major plus
  • Experience with Infrastructure as Code (Terraform)
  • Familiarity with relational and non-relational databases
  • Exposure to cloud technologies
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