Lead Data Engineer - Python, SQL - Team Lead - Vice President

Be an integral part of an agile teamthat'sconstantly pushing the envelope toinnovate, build,enhanceand deliver top-notch technology products.

Asa LeadDataEngineer at JPMorgan Chase withinthe GIB and a part of theCapital MarketsTeamyou 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. As a core technical contributor, youare responsible forconducting critical technology solutions across multiple technical areas within various business functions in support of the firm's businessobjectives.

Job responsibilities

• Lead a Squad ofDataEngineers to meet business deliveries workingwithProduct andDesignleads.
• Lead Agile ceremonies including standups,retrosand technical refinements.
• Self-starter able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long-term goals
• Accelerate team velocity to improve time to market forbusinesssolutions.
• Provide frequent updates to senior stakeholders on progress of businessdeliveries.
• Use domainmodellingtechniques to allow us to build best in class business products.
• Structure software so that it is easy to understand, test and evolve.
• Promptly investigate and fix issues and ensure they do not resurface in the future.
• Own and deliver end-to-end,scalable,and secure solutions in the form of cloud-native microservice architecture applications,leveragingmodern technologies and the best industry practices.
• Investigate and fix issuespromptly andensure they do not resurface in the future.
• Make sure our releases happen with zero downtime for our end-users.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3 years applied experience.
• Good working knowledge of AWS, Databricks, and Python.
• Experience across the data lifecycle.
• Advanced at SQL, including joins and aggregations.
• Working understanding of NoSQL databases.
• Significant experiencewith statistical data analysis and ability to determineappropriate toolsand data patterns for analysis.
• Knowledge of modern software architecture patterns.
• Experience with a modern CI/CD platforms such Circle Ci/Jenkins.
• Experience with modern version control platform such as GitHub/Bitbucket.
• A desire to teach others and share knowledge. A team player mindset where you want you to coach other team members on coding practices, design principles, and implementation patterns.
• Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns technologies and patterns quickly. Comfortable in uncharted waters.

Preferred qualifications, capabilities, and skills

• Familiarity with the Standardized data layer practises (Medallion architecture)
• Exposure to Aurora Postgres and MongoDB
• Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.