Data Engineer I (AWS, PySpark, Snowflake)

Data Engineer I (AWS, PySpark, Snowflake)

• Build and operationalize complex data solutions
• Design data solutions
• Analyze sources to determine value and recommend data to include in analytical processes
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate
• Test data movement, transformation code, and data components

• Bachelor’s Degree in STEM related field or equivalent
• Six years of related experience
• Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices
• Experience with ETL development in data lake and data warehouse (preferably Snowflake)
• Exhibited hands-on experience in building data pipelines and reusable components using AWS Services and PySpark, and Snowflake within the last two years

• Health Insurance
• Retirement
• Paid Time Off
• Wellness Program
• Volunteer Encouragement

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