JPMorgan Data Validation Senior Lead Software Engineer 

United Kingdom, Scotland 

689455784

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.