Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, specifically as a part of the Digital & Platform Services division, you will play a pivotal role in an agile team. Your responsibilities will encompass enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable way. Leveraging your technical prowess and problem-solving abilities, you will be instrumental in making a significant business impact and tackling a broad spectrum of challenges across diverse technologies and applications.

Job responsibilities:

Data Data Ingestion Pipelines: Design, develop, and maintain pipelines to handle large volumes of data, ensuring efficient data flow between sources and destinations. Collaborate with data engineers: Work with data engineers, data scientists, and stakeholders to ensure data quality and consistency through normalization and integration. Optimize performance: Identify and resolve bottlenecks in data processes to enhance performance and throughput. Monitoring and Troubleshooting: Implement monitoring systems to detect and address data ingestion issues proactively. Data Security: Ensure compliance and security by implementing access controls, encryption, and protection measures. Documentation: Maintain detailed documentation of processes, configurations, and best practices. Development Expertise: Use programming languages like Java or Python to manage data ingestion solutions, focusing on code quality and performance.

Required qualifications, capabilities, and skills:

Formal training or certification in data engineering concepts and 5+ years applied experience, with addition 4+ Years of delivering hands-on Cloud Native solutions.  AWS Services: Proficiency in AWS data services such as Glue, Athena, or Neptune. Database Knowledge: Experience with Graph Databases (Cypher, Gremlin) or Relational Databases (DML, DDL, PL/SQL). Cloud Services Management: Experience with Terraform for managing cloud services. CI/CD Integration: Experience with CI/CD processes using tools like git/Bitbucket, Jenkins, or Spinnaker. Data Pipeline Development: Experience with Spark, Glue, or similar technologies for building data pipelines. Data Formats: Proficiency in handling JSON, XML, and CSV formats. Full Delivery Execution: Demonstrated ability to design, develop, test, and document secure data systems. Interpersonal Skills: Strong communication skills for collaborative work across teams. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively in a fast-paced, agile environment.

Preferred qualifications, capabilities, and skills:

Agile Environment: Experience in Agile Development and participation in Agile ceremonies. Full Stack Development: Experience with REST services using Java/Spring/Spring Boot. Test-Driven Development: Familiarity with modern source control and continuous integration. API and Data Interfaces: Experience with API, GraphQL, and data ingestion tools like Apache Kafka, Nifi, or similar. Data Warehousing: Understanding of Data Warehousing and Data Modeling on AWS Redshift. Big Data Technologies: Knowledge of distributed computing and big data technologies like Hadoop and Spark.