Senior Analytics Engineer

About Anaconda

Be at the center of AI

With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.

Here is what people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary:

Anaconda is seeking a talented Senior Analytics Engineer to join our internal Data & Analytics team. You will be working closely with our Product, Engineering, and Marketing teams to gather requirements and translate them into a data product. Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions. This is an amazing opportunity for you to leverage your experience and skills to help Anaconda push the limits of what’s possible with data science and AI.

What You’ll Do:

• Design, build, and maintain scalable and robust data pipelines to ingest, process, and store large volumes of data from various sources.
• Develop and maintain dbt data models, including star and snowflake schemas, to support analytics and reporting needs.
• Collaborate with data analysts, data scientists, and business stakeholders to understand their data requirements and deliver actionable insights.
• Implement data quality and validation processes to ensure data accuracy and reliability.
• Optimize and improve existing data pipelines for performance and scalability.
• Create and maintain comprehensive documentation for data pipelines, data models, and analytics solutions.
• Assist in the development and maintenance of our data warehouse and data lake infrastructure.

What You Need:

• 8+ years of relevant experience
• Strong proficiency in SQL & experience with Snowflake or similar SQL cloud data warehouse
• Proficiency in dbt & Git for version control and collaborative development
• Proficiency in Python programming and familiarity …