Python Data Engineer (Ingeniero de Datos en Python)

Description

Summary: This Python Data Engineer role focuses on building, maintaining, and optimizing reliable data pipelines and platforms to transform raw data into analytics-ready datasets. Highlights: 1. Develop and maintain backend services using Python and Node.js. 2. Build and consume RESTful APIs, integrating with databases. 3. Collaborate with architects, analysts, and data scientists. **Python Data Engineer (Ingeniero de Datos en Python)** **Location:** Mexico (Mexico City, Guadalajara, Monterrey) – Hybrid as per Infosys Mexico policy (CST/EST time) **Role Overview** As a Python Data Engineer you will be responsible for building, maintaining, and optimizing reliable data pipelines and data platforms using Python as the primary development language. The role focuses on transforming raw data into high‑quality, analytics‑ready datasets that support reporting, advanced analytics, and data science initiatives. The Python Data Engineer works closely with data architects, analysts, and data scientists to implement scalable data ingestion, transformation, and processing solutions. They ensure data pipelines are efficient, well‑tested, and production ready, following defined architectural standards and best engineering practices. **Key Responsibilities** * Develop and maintain backend services using Python and Node.js. * Build and consume RESTful APIs and integrate it with databases and third\-party services. * Write clean, efficient, and well tested code. * Support debugging, performance tuning, and production issue resolution. * Collaborate with frontend developers, architects, and product teams. **Basic Qualifications** * Bachelor’s degree or foreign equivalent in Computer Science or related field. * **6\+ years of IT experience** in data engineering or related technical roles. * **Bilingual (Spanish \& English)** – strong verbal and written communication. * Proven experience implementing Azure services for data movement and transformations. **Mandatory Skills** * Strong hands\-on experience with Python and Node.js. * Experience with backend frameworks (e.g., Express.js, FastAPI, Flask, Django). * Knowledge of databases (SQL and/or NoSQL). * Familiarity with Git and CI/CD pipelines. * Basic understanding of cloud platforms and deployment concepts. **Preferred Skills** * Strong experience with Azure stack. * Experience in working with Azure Databricks or Snowflake. * Experience in data warehouse using any ETL tool. * Experience in Unix shell scripting. **Other Requirements** * Ability to work under tight timelines and manage complex requirements. * Flexible to work during CST/EST time zones and meet for hand\-over activities to India team if needed. * Self\-motivated, proactive, and a strong team player.