Software Engineer III Java, AWS, PySpark

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 Team 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
• Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
• 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
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification in software engineering concepts and 3 years applied experience
• Experience with AWS cloud technologies including S3
• Experience with SQL-based technologies (e.g. MySQL/ Oracle DB)
• Experience in Java and Python programming language
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Cloud implementation experience with AWS including AWS Data Services: Proficiency in Lake formation Glue ETL (or) EMR S3 Glue Catalog Athena Kinesis (or) MSK Airflow (or) Lambda Step Functions Event Bridge
• Data De/Serialization: Expertise in at least 2 of the formats: Parquet Iceberg AVRO JSON-LD
• AWS Data Security: Good Understanding of security concepts such as: Lake formation IAM Service roles Encryption KMS Secrets Manager
• Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
• Proficiency in automation and continuous delivery methods.

Preferred qualifications capabilities and skills

• Snowflake knowledge or experience preferred
• In-depth knowledge of the financial services industry and their IT systems
• Worked with building Data lake built Data platforms built Data frameworks Built/Design of Data as a Service AP