Senior Lead Data Engineer - SaaS Intelligence
Chase bank
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 Senior Lead Data Engineer at JPMorgan Chase within the [insert LOB or sub LOB], 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.
Job responsibilities
Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of dataDesigns and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayDefines database back-up, recovery, and archiving strategy Generates advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithmsApproves data analysis tools and processesCreates functional and technical documentation supporting best practicesAdvises junior engineers and technologistsEvaluates and reports on access control processes to determine effectiveness of data asset securityAdds to team culture of diversity, equity, inclusion, and respectRequired qualifications, capabilities, and skills
Formal training or certification on Engineering and/or Cybersecurity concepts and 5+ years applied experience as a cloud engineer, deployment engineer, DevOps engineer, or equivalent role that involves deploying enterprise software to public cloud platforms.Working experience with both relational and NoSQL databasesAdvanced understanding of database back-up, recovery, and archiving strategiesAdvanced knowledge of linear algebra, statistics, and geometrical algorithmsExperience presenting and delivering visual data
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