Data Architect Data Analytics (Ciudad de México)

Data Architect Data Analytics (Ciudad de México)

02 oct
|
Solicitud de empleo para Data Engineer en PALO IT
|
Ciudad de México

02 oct

Solicitud de empleo para Data Engineer en PALO IT

Ciudad de México

PALO IT is a general technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:
We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
The quality consistently exceeds the output of our best traditional engineering teams.
A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches,



while raising the bar for engineering excellence.
Your Role As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that ensure the accessibility, reliability, and quality of data across the organization. You will collaborate closely with data scientists, analysts, and cross-functional teams to transform raw data into actionable insights that drive strategic decisions.
Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data lakes and data warehouse solutions in cloud environments.
Develop robust data ingestion and transformation processes using Python, SQL, and Scala.
Work with distributed data processing frameworks such as Apache Spark and Hadoop.
Orchestrate and monitor workflows using Apache Airflow.
Ensure data quality, governance, security, and availability across multiple systems.
Collaborate wi

📌 Data Architect Data Analytics (Ciudad de México)
🏢 Solicitud de empleo para Data Engineer en PALO IT
📍 Ciudad de México

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