Lead Software Engineer AWS, Data Engineering, PythonJava, Spark

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking Team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years of applied experience.
• Design and implementation on Operational Database or Data Warehouse and experience in integrating various data sources.
• Experience in Data Encryption aware of various Authentication methods Resiliency planning etc.
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying language.
• Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL ELT & reporting solutions using key components like Spark SQL & Spark Streaming.
• Proficient in coding in one or more Coding languages - Java Scala Python
• Experience with Relational and No SQL databases
• 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
• Experience in Data De/Serialization: Expertise in at least 2 of the formats: Parquet Iceberg AVRO JSON-LD
• Experience in AWS Data Security: Good Understanding of security concepts such as: Lake formation IAM Service roles Encryption KMS Secrets Manager

• Experience working of the financial services industry and their IT systems. Practical cloud native experience AWS.

• Experience in Snowflake nice to have.
• Experience in Data Steaming nice to have