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 - Java/ Python/ AWS at JPMorgan Chase within the Consumer and Community Banking, Data Technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, ac... more details
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 - Java/Python/AWS at JPMorgan Chase within the Consumer and Community Banking, Data 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.
Job responsibilities
Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data??
Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Defines database back-up, recovery, and archiving strategy
Lead implementation of across lake house, interoperability across various data platforms within the eco system
Lead fine grain access control implementation across data platforms
Build Data Quality Strategy aimed to modernize Data Quality and Data Observability to improve data accuracy and reliability.
Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Conducts governance accountability for coding decisions, measures of success such as maintainability and user experience
Generates advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithms
Advises junior engineers and technologists
Evaluates and reports on access control processes to determine effectiveness of data asset security?
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on programming experience with Java and Python
Experience building multi Petabyte, multi-platform lake house setup
Hands-on experience within AWS, especially with EMR, Glue, Step Functions, Lambdas, API gateway, EKS/ECS
Hands-on experience implementing Tag Based Access controls with Lake Formation, Databricks, Unity catalog and federation
Strong experience building pipelines on both AWS and Databricks
Working experience with both relational and NoSQL databases?
Advanced understanding of database back-up, recovery, and archiving strategies
Advanced knowledge of linear algebra, statistics, and geometrical algorithms
Experience presenting and delivering visual data
Experience driving change within organizations and managing stakeholders across multiple Lines of Businesses, Technology, and corporate functions
Preferred qualifications, capabilities, and skills
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