Senior Lead Data Engineer

2 weeks ago

Tampa, United States myGwork - LGBTQ+ professionals & allies Full time

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 world’s 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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