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About the role
Required Qualifications: Bachelor's or Master's (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent 4+ years of experience in data engineering and analytics on modern data platforms 3+ years extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models Understand change data capture concepts Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift) Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD Python proficiency or general knowledge of Jinja templating in Python and/or PySpark Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer A great teammate and self-starter, strong detail orientation is critical in this role.
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