Federal Trade Commission
Government • Compliance • Security
Federal Trade Commission is an American government agency that focuses on protecting consumers and ensuring a strong competitive market. The FTC aims to prevent fraudulent, deceptive, and unfair business practices in the marketplace and to provide information to help consumers avoid such practices. The commission is involved in consumer protection such as identity theft prevention, online security, and combating various types of scams. Additionally, the FTC provides resources and alerts for consumers on topics such as credit, loans, and unwanted communications.
1001 - 5000 employees
Founded 1914
🏛️ Government
📋 Compliance
🔐 Security
Senior Data Engineer
Job not on LinkedIn
November 15
Federal Trade Commission
Government • Compliance • Security
Federal Trade Commission is an American government agency that focuses on protecting consumers and ensuring a strong competitive market. The FTC aims to prevent fraudulent, deceptive, and unfair business practices in the marketplace and to provide information to help consumers avoid such practices. The commission is involved in consumer protection such as identity theft prevention, online security, and combating various types of scams. Additionally, the FTC provides resources and alerts for consumers on topics such as credit, loans, and unwanted communications.
1001 - 5000 employees
Founded 1914
🏛️ Government
📋 Compliance
🔐 Security
📋 Description
• Develop scalable data infrastructure • Design and implement Snowflake data pipelines to ingest and transform diverse client, internal and third-party data sets into a robust data warehouse, ensuring reliability, scalability and performance • Implement security, compliance, and governance standards for privacy forward data storage and access control • Partner with business users to ensure the data ecosystem provides actionable and reliable insights into critical business metrics • Develop automated data quality checks to ensure the right data enters the platform • Ensure data and results are accessible, scalable, efficient, accurate, and complete • Stay up-to-date with emerging data engineering trends, tools and technologies
🎯 Requirements
• 4+ years of success in enterprise data solutions • Proven expertise in SQL for querying, manipulating, and analyzing large data sets • Proven expertise utilizing Python for data modeling, transformation, and workflow automation • Hands-on expertise in advanced platforms like Snowflake (preferred), dbt, Databricks, Redshift and related cloud-native data technologies • Experience in healthcare data is required; pharmacy experience is especially valued • Bachelor's degree in business Analytics, Computer Science, Data Science, Mathematics or related analytical field required. • A bachelor’s degree in a different field with equivalent work experience may be considered.
🏖️ Benefits
• wide range of benefits • perks • wellness programs • continuous learning opportunities
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