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 the Infrastructure Platforms organization, you are an integral part of an agile 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
Data Modeling: Develop and maintain data models using firmwide tooling, linear algebra, statistics, and geometrical algorithms.Data Platform Solutions: Design and implement secure, stable, and scalable data collection, storage, access, and analytics solutions.Data Pipeline Development: Define and create robust data pipelines for ingestion, processing, and transformation.Data Warehouse Design: Model and design future data warehouse architecture for business intelligence and analytics.Stakeholder Collaboration: Work with stakeholders and key partners to understand and solve their data needs.Innovation and Best Practices: Stay updated on industry trends and implement best practices for data management.
Required qualifications, capabilities, and skills
Formal training or certification on data analysis tools and techniques concepts and proficient advanced experienceProficiency in data analysis tools and techniquesExperience with data visualization tools like Tableau, Power BI, or similarWorking experience with both relational and NoSQL databasesExperience and proficiency across the data lifecycleExperience with database back-up, recovery, and archiving strategyProficient knowledge of linear algebra, statistics, and geometrical algorithmsKnowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks.
Preferred Qualifications
Understanding of machine learning concepts and tools is a plus.