JPMorgan Chase - Plano, TX
posted 2 months ago
Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies. As a Lead Data Engineer at JPMorgan Chase within the Consumer & Community Banking, Cards Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem-solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers. In this role, you will provide recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, quality, anomaly detection, and utilization of data. You will design and deliver trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way. Additionally, you will define database back-up, recovery, and archiving strategies, generate advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithms, and approve data analysis tools and processes. You will also create functional and technical documentation supporting best practices and proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture. Your responsibilities will include designing and developing data pipelines end to end using Spark SQL, Java, and AWS Services. You will utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services. You will contribute to software engineering communities of practice and events that explore new and emerging technologies, evaluate and report on access control processes to determine the effectiveness of data asset security, and add to the team culture of diversity, equity, inclusion, and respect.