Must have a Bachelors degree in computer science, data science, engineering, information technology or a related field and 5 years of progressive, postbaccalaureate related work experience. Alternatively, will accept a Masters degree in computer science, data science, engineering, information technology or a related field and 4 years of related work experience.br br Must have 4 years of experience designing and building data platforms integrating disparate data sources.br br Must have 4 years of data modeling experience, including managing data models and stores.br br Must have 4 years of experience developing dataflows using NifiADF and Databricks.br br Must have 4 years of experience reviewing data sets to establish their quality against a defined set of parameters and to highlight data where corrective action cleansing is required to remediate the data.br br Must have 4 years of experience with Python, PySpark or R.br br Must have 4 years of experience creating and analyzing complex SQL queries and procedures.br br Must have 4 years of experience with big data and distributed architecture, including ETL workflows.br br Must have 2 years of experience working with other departments across the business to help define and deliver business value, as well as interfacing and communicating with program teams, management and stakeholders to deliver large, complex projects.br br Must have 1 year of experience supervising junior data engineers on projects and providing performance feedback.br br Employer will accept any suitable combination of education, training or experience.
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