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 Data Validation Senior Lead Software Engineer at JPMorgan Chase within the Data Products Engineering team, you are 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• 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

• Formal training or certification on software engineering concepts and advanced applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) such as Core Java
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Data Quality Rules management using external vendor tools like Drules, Signavio, Camunda or any other similar Business Rules Engine.
• Hands on experience in data profiling, data governance and overall data quality framework at large enterprise scale applications.
• Hands on experience with metadata management solutions, decouple business & data pipelines.
• Deeper knowledge of enterprise data catalogue solution and how to leverage it to harvest data quality rules.
• Hands on experience with AWS including setting up EKS and leveraging context apocopate AWS services, Spark, EMR and UI frameworks.

• Proficiency in automation and continuous delivery methods
• Additional knowledge of front-end technologies i.e. React / Tuxedo/JS
• Prior experience with Databricks, Data modelling, ETL.