Lead Data Engineer
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 Consumer & Community Banking Data Lake 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
- Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data
- Build and support Lake house model enabling publishers and consumers
- Partner with architecture team to rapidly design and build highly efficient, secure, fault tolerant and resilient compute capabilities in Cloud environment
- Embrace a culture of experimentation and constantly strive for improvement and learning
- 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
- Generates advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithms
- Approves data analysis tools and processes
- Creates functional and technical documentation supporting best practices
- Advises junior engineers and technologists
- Evaluates and reports on access control processes to determine effectiveness of data asset security
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- 10+ years of data engineering experience, 5+ years experience leading teams
- 5+ years of solid AWS experience, Glue/EMR/Lake Formation/API Gateway/EKS/ECS/EC2
- 10+ Years of programming experience with Python or Java(Spring, Hibernate)
- Very strong experience building/monitoring containerized applications
- Experience with data platforms like snowflake or Databricks
- Experience leading multi-platform, multi petabyte ecosystem
- Experience designing fine grain access control across the platforms
- Hands on experience with logging and monitoring frameworks(Otel, Splunk, datadog, Prometheus)
- Hands on experience with unit testing, integration testing
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