Senior Lead Software Engineer - Data Engineer, Wealth Management Technology

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, you will be responsible for driving a core team of big data engineers to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Design and implement end-to-end data pipelines supporting analytical and operational needs accounting for data management practices focused on data quality, metadata management etc.
• Lead as the AWS expert in the both implementing new pipelines / migrating existing on-prem data pipelines into AWS
• Identify, analyze, and interpret trends or patterns in complex datasets
• Innovate new ways of managing, transforming and validating data
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Minimum 12+ years of software engineering experience
• Bachelor's Degree in Computer Science, Engineering, Mathematics or other related disciplines
• Advanced in one or more programming language(s) - preferably Java, Scala & Python, etc
• Proven experience implementing complex ETL transformations using Spark (Data Frame & SQL), Kafka , streaming
• Proven experience in Event Driven/Streaming Architecture and modeling RDBMS (Oracle) and No-SQL databases (Elasticsearch, Dynamo DB).
• Practical AWS cloud experience (e.g. AWS EKS, ECS, Fargate, Lambda etc)
• Continuous Integration/Continuous Development (e.g. GIT, Jenkins, Maven), Shell scripts, Perl, and Job Scheduling tools like Airflow, Autosys

Preferred qualifications, capabilities, and skills

• Experience with migration of application/data from on-premise to cloud a plus
• Experience with Kubernetes & container technologies