A Masters degree or foreign equivalent in Software Engineering,br Information Technology, or a related quantitative field and 3 years ofbr experience in data engineering, or technical architecture. In thebr alternative, a Bachelors degree or foreign equivalent in Softwarebr Engineering, Information Technology, or a related quantitative fieldbr followed by 5 progressively responsible years of experience in databr engineering, or technical architecture.br br Experience must includebr 1. 3 years of experience with data warehouse technicalbr architectures, data modeling, infrastructure components, ETLbr ELT and reportinganalytic tools and environments, databr structures and handson SQL coding.br 2. 2 years of development experience in Python or similarbr scripting language for automation.br 3. 3 years of experience with ETL, Data Modeling, and Databr Architecture with hundreds of terabytes of data.br 4. 2 years of experience working with core AWS data andbr analytics services, understanding the applicability, limitations,br and trade offs between a wide set of AWS database andbr analytics technologies.br 5. 1 year of experience working with distributed computing andbr associated technologies such as Spark or EMR.br 6. 2 years of experience with Redshift or very large DWbr environments.br 7. 2 years of tangible experience working with Redshift Spectrum,br AWS Glue, DynamoDB, and S3.br 8. 3 years of experience with large IT project delivery for BIbr oriented projects.br br Section H.14 defines the experience and skills that a qualified candidate must possess to meet the actual minimum requirements for the position. This experience and skills may be obtained in any alternate related occupation, regardless of job title, as specified above.
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