About The Position

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 JPMorganChase within the ENTERPRISE TECHNOLOGY(EMPLOYEE DIGITAL AND SERVICE EXP), 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.

Requirements

  • Formal training or certification in software engineering concepts with 2+ years of applied experience.
  • 3+ years in data engineering, including design, application development, testing, and operational stability.
  • Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift.
  • Proficiency in programming languages like Python, Java, or Scala for data processing and application development.
  • Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Understanding of agile methodologies, application resiliency, and security.
  • Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile.
  • Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server.

Nice To Haves

  • AWS Certification
  • Databricks Certification
  • Experience with scheduling tools like Autosys & Airflow to automate and manage job scheduling for efficient workflow execution.
  • In-depth knowledge of the financial services industry and their IT systems.

Responsibilities

  • Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems.
  • Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
  • Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
  • Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
  • Implement data quality checks and validation processes to ensure accuracy and reliability of data.
  • Help design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.
  • Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights.
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