Jpmorgan Chase & Co. Plano , TX 75023
Posted 2 weeks ago
JobID: 210531910
Category: Data Engineering
JobSchedule: Full time
Posted Date: 2024-06-27T15:10:02+00:00
JobShift: Day
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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 Cyber and Tech Controls line of business, 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 algorithms
Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Implements database back-up, recovery, and archiving strategy
Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Works with stakeholders and business leaders to understand reporting needs and recommend tactical and strategic solutions
Develops secure, efficient and maintainable production code and review and debugs code written by others
Supports data consumption from on premise and cloud based sources
Performs automated data quality analysis to identify anomalies and provide a robust solution
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on data engineering concepts and 5+ years applied experience
Working experience with both relational and NoSQL databases
Experience and proficiency across the data lifecycle
Experience with database back-up, recovery, and archiving strategy
Deep experience with SQL query language and ETL systems
Experience presenting and delivering visual data
Proficient knowledge of linear algebra, statistics, and geometrical algorithms
Preferred qualifications, capabilities, and skills
Skilled in planning, designing, and implementing enterprise level data analysis solutions
Experience with modern data abstraction and federated query tooling
Advanced in one or more programming languages (Python, Java, Shell Script)
In-depth knowledge of the financial services industry, their compliance requirements and IT systems
Jpmorgan Chase & Co.