Analytics Engineer, Platform.sh

• SQL and DBT Expertise: You have experience building and maintaining data models within a production environment
• Python Familiarity: You are comfortable with Python development for data-related tasks
• Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena
• ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs
• Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges
• Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products
• Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch
• Version Control: You have prior experience using Git to manage your code and collaborate with others
• Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution
• We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance

Desirable

• Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun
• By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations
• You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization
• Your work directly influences how we build our products and scale our global infrastructure
• Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products
• Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption
• Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques
• Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions
• Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components
• Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge

• You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners
• Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment
• 45 Minutes with Talent Acquisition
• 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
• 60 Minutes with Team (ICs)
• 45 Minutes with Executive (CFO)
• All roles require background checks