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.

As a Lead Data Engineer at JPMorgan Chase within the GIB and a part of the Capital Markets 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Lead a Squad of Data Engineers to meet business deliveries working with Product and Design leads.
• Lead Agile ceremonies including standups, retrospective and 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 for business solutions.
• Provide frequent updates to senior stakeholders on progress of business deliveries.
• Use domain modelling techniques 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, leveraging modern technologies and the best industry practices.
• Investigate and fix issues promptly and ensure 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 experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
• Knowledge of modern software architecture patterns.
• Experience with a modern CI/CD platform such as 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.

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