Senior Lead Data Engineer
2 weeks ago
This inclusive employer is a member of myGwork the largest global platform for the LGBTQ+ business community.
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 worlds largest and most influential companies.
As a Senior Lead Data Engineer at JPMorgan Chase within the Corporate Investment Bank, 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
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
Formal training or certification on software engineering concepts and 5+ years of applied experience
Working experience with both relational and NoSQL databases
Experience across the data lifecycle
Experience with Batch and Real time Data processing with Spark or Flink
Working knowledge of AWS Glue and EMR usage for Data processing
Experience working with Databricks
Experience working with Python/Java, PySpark etc.
Experience presenting and delivering visual data
Preferred Qualifications, Capabilities, And Skills
Advanced experience with SQL (e.g., joins and aggregations)
Advanced understanding of database back-up, recovery, and archiving strategies
Advanced knowledge of linear algebra, statistics, and geometrical algorithms
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