Senior Data Engineer (Python, Azure, Snowflake) - Video Games

Truelogic; México; A distancia; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading nearshore staff augmentation provider is seeking a data professional who excels in Python and data pipeline management. The role involves exploring and cleaning large datasets, maintaining scalable data pipelines, and supporting analytics through ETL/ELT processes. Candidates should have strong SQL skills and experience with data tools like Snowflake and Fivetran. This position offers 100% remote work, competitive USD pay, and emphasizes work-life balance.

Servicios

100% Remote Work

Highly Competitive USD Pay

Paid Time Off

Work Autonomy

Collaboration with Top American Companies

Formación

• Proficiency in Python and experience with data processing libraries like Pandas or PySpark.
• Ability to process data from APIs and handle relational and non-relational databases.
• Knowledge of cloud object storage and experience with data ingestion tools.

Responsabilidades

• Explore, clean, and assemble large datasets for business requirements.
• Analyze raw data and identify trends.
• Maintain scalable data pipelines and develop ETL/ELT processes.

Conocimientos

Python

Pandas

PySpark

APIs

SQL

Azure DevOps

Snowflake

Fivetran

BI tools (Tableau, Power BI)

Cloud platforms

Descripción del empleo

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

The client is an esports league joint venture between the National Basketball Association and Take-Two Interactive. The league, under its original form, was announced in 2017 with its inaugural season taking place in 2018.

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

• 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.

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. 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.

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 ensure you thrive both 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!