Responsibilities
- Work with data end-to-end: exploring, cleaning, transforming, and assembling large, complex datasets that meet both functional and non-functional business requirements.
- Analyze and organize raw data from multiple sources, identify trends and patterns, and maintain reliable, scalable data pipelines across all ingestion points.
- Create and maintain pipelines that integrate licensed data, partner feeds, social platforms, scraped datasets, and other external sources.
- Develop ETL/ELT processes optimized for analytics performance, data integrity, and scalability.
- Manage and operate tools that provide insights into usage, acquisition, content performance, and operational efficiency.
- Work with relational and cloud-based storage systems, extracting value from large, heterogeneous datasets.
- Build analytics-ready outputs, curated datasets, and data models that enable trustworthy, self-service insights across the organization.
Requirements
- Strong proficiency in Python.
- Experience with Pandas and/or PySpark for data processing.
- Ability to consume and process data from APIs and external services.
- Experience with relational and non-relational databases.
- Working knowledge of cloud object storage (e.g., blobs).
- Familiarity with Azure DevOps and repository workflows.
- Hands-on experience with Snowflake.
- Hands-on experience with Fivetran (data ingestion).
- Experience supporting data warehouse implementations.
- Strong SQL skills.
- Experience collaborating with BI teams (Tableau, Power BI, etc.)
- Experience building data applications on cloud platforms.
- Located in Latam.
- Fluent English level.
Benefits
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Work Arrangement
Remote (Worldwide)
Team
Team size: 600+. Structure: team of 600+ highly skilled tech professionals, based in Latin America
Additional Information
- Fluent English level.
