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 - Alteryx/ETL at JPMorgan Chase within the Global Technology COO Data Engineering team, 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
Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithmsDelivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayImplements database back-up, recovery, and archiving strategy Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervisionAdds to team culture of diversity, equity, inclusion, and respectRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceWorking experience with both relational and NoSQL databasesProficient in Alteryx or other data wrangling technologyExperience with Python developmentExperience and proficiency across the data lifecycleExperience with database back-up, recovery, and archiving strategyProficient knowledge of linear algebra, statistics, and geometrical algorithmsPreferred qualifications, capabilities, and skillsExperience designing and building database modelsExperience in Snowflake and DatabricksExperience with data visualization tools such as Tableau, Qlik or ThoughtSpot