Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of a cutting-edge team that works 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
1. Generates data models using firmwide tooling, statistics, and algorithms
2. Works alongside other Data Engineers and stakeholders to develop data extraction and transformation pipelines
3. Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
4. Works with key stakeholders to understand key data requirements
5. Designs and implements data solutions, with effective access control and security
6. Designs and implements data visualisation solutions with a focus on User Experience
7. Adds to team culture of diversity, equity, inclusion, and respect
Required Qualifications, Capabilities, and Skills
1. Formal training or certification on Data Engineering concepts and proficient advanced experience
2. Self-motivated and driven; capable of managing deliverables as an individual contributor
3. Experience and proficiency across the data lifecycle
4. Advanced at SQL (e.g., joins and aggregations)
5. Working understanding of Cloud platforms e.g. AWS
6. Adept at working with stakeholders to develop a cohesive business requirement that can create testable outcomes
7. Experience working with Big Data; Data Lakes, Data Warehouses, Lakehouses
8. Proficient in Databricks and Python, including concurrency and error handling
9. Experience working with ETL tools
10. Data visualisation tools
Preferred Qualifications, Capabilities, and Skills
1. AWS, Lambdas, Terraform
2. Java
3. Front end development
4. User Experience skills
5. Snowflake, Data modelling
6. Experience working in large scale, global, highly regulated institutions
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