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
* Generates data models using firmwide tooling, statistics, and algorithms
* Works alongside other Data Engineers and stakeholders to develop data extraction and transformation pipelines
* Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
* Works with key stakeholders to understand key data requirements
* Designs and implements data solutions, with effective access control and security
* Designs and implements data visualisation solutions with a focus on User Experience
* Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
* Formal training or certification on Data Engineering concepts and proficient advanced experience
* Self-motivated and driven; capable of managing deliverables as an individual contributor
* Experience and proficiency across the data lifecycle
* Advanced at SQL (., joins and aggregations)
* Working understanding of Cloud platforms (AWS)
* Adept at working with stakeholders to develop a cohesive business requirement that can create testable outcomes
* Experience working with Big Data; Data Lakes, Data Warehouses, Lakehouses
* Proficient in Databricks and Python, including concurrency and error handling
* Experience working with ETL tools
* Data visualisation tools
Preferred qualifications, capabilities, and skills
* AWS, Lambdas, Terraform
* Java
* Front end development
* User Experience skills
* Snowflake, Data modelling
* Experience working in large scale, global, highly regulated institutions
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