Senior Data Engineer

Senior Data Engineer (Python, Azure, Snowflake) - Video Games Join Truelogic Software to work on cutting‑edge data projects for a leading esports league joint venture between the NBA and Take‑Two Interactive. Job Summary Work with data end‑to‑end: exploring, cleaning, and assembling large, complex datasets that meet functional and non‑functional business requirements. Analyze and organize raw data from multiple sources, interpret trends and patterns, and maintain reliable data pipelines across all ingestion points. Create and maintain data pipelines that integrate licensed data, partner feeds, social platforms, and any scraped or external sources. Develop ETL/ELT processes that support analytics, performance, and scalability. Manage and operate tools that provide insights into usage, customer acquisition, content performance, and operational efficiency. Work with relational and cloud‑based storage systems and extract value from large heterogeneous datasets. Build analytics‑ready outputs and models that enable self‑service and trustworthy insights across the organization. Responsibilities Explore, clean, transform, and assemble 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. Qualifications and Job 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. What we offer 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. Highly Competitive USD Pay: Earn an excellent, market‑leading compensation in USD. Paid Time Off: We value your well‑being. Our paid time‑off policies ensure you have the chance to unwind and recharge. 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 leading U.S. companies. Why You’ll Like Working Here A Culture That Values You: We prioritize well‑being and work‑life balance, offering engagement activities and fostering dynamic teams to help you thrive personally and professionally. Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America. Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field. Apply now #J-18808-Ljbffr