Software Engineer III Data Engineer, AWS, ETL, Python

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 Employee Platforms 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 firms business objectives.

Job responsibilities

• Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Design develop and maintain scalable data pipelines to extract transform and load (ETL) data from various sources into data warehouses or data lakes.
• Build and manage relational and non-relational databases ensuring data integrity security and performance.
• Integrate data from multiple internal and external sources ensuring consistency and quality across platforms.
• Automate data processing tasks and workflows to improve efficiency and reduce manual intervention.
• Monitor data pipelines and systems for performance issues troubleshoot problems and implement solutions.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Document data engineering processes architectures and data flows for transparency and maintainability

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 2 years applied experience
• Hands-on practical experience in system design application development testing and operational stability
• Proficient in coding in one or more languages
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Proficiency in programming languages such as Python Java or Scala
• Experience in Databricks
• Experience with ETL tools and frameworks
• Strong knowledge of SQL and database technologies (e.g. MySQL PostgreSQL).
• Experience with cloud platforms (e.g. AWS) and their data services.
• Understanding of data warehousing concepts and architectures

Preferred qualifications capabilities and skills

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
• Masters degree or relevant certifications (e.g. AWS Certified Data Analytics).
• Experience with data governance data quality and data security practices.
• Knowledge of DevOps practices and CI/CD pipelines.
• Experience with real-time data processing and streaming analytics