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Python PySpark Developer

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Architect (Level: Manager)
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CREQ209703 Requisition #
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Bachelor s degree in an analytical field, such as computer science, business management, mathematics, or a related field of study, or equivalent work experience
Required Skills and Experience
8+ years of experience as a data analyst creating complex SQL queries, joins, case statements, stored procedures, and optimizing queries.
Demonstrated experience analyzing large data sets to generate actionable insights, preferably with consumer transactional, profile, and marketing data.
Experience writing database queries and code while maintaining data quality, privacy, and security.
Experience utilizing multi-TB cloud data warehouses (Big Query, Data Bricks, Teradata, Snowflake, Redshift)
Fundamental understanding of CCPA compliance requirements for PII desired.
Exceptional analytical and problem-solving abilities coupled with a meticulous attention to detail.
Expertise with customer segmentation and customer lifetime value analyses
Good to have
Data warehouse expertise with AWS Athena, Data Bricks, Teradata, Big Query, and Snowflake
Knowledge of DOMO or Tableau
Experience creating data models or manipulating data using R or Python

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