Data Engineer – Enterprise Risk Data Platforms

Tata Consultancy Services; Ciudad de México; Hybrid; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Direct contract

Legal benefits above standard

Job summary

Tata Consultancy Services in Mexico City is seeking a seasoned Data Engineer to design, develop, and maintain scalable data pipelines for Enterprise Credit Risk initiatives. You will work with Databricks, Spark, PySpark, Hadoop, SQL and Python, building batch and real-time solutions and mentoring juniors.

Hybrid role requiring presence at the Mexico City office (Av. Reforma) two days per week, with collaboration across Risk, Product, Data Science, and Engineering teams to deliver robust data

Qualifications

• Hands-on experience with Databricks, Spark, PySpark, Hadoop, SQL and Python.
• Experience building and maintaining enterprise-scale data engineering solutions.
• Cloud-based data platforms and storage technologies experience.
• Knowledge of CI/CD pipelines and Git workflows.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines and data products supporting Enterprise Credit Risk initiatives.
• Build and optimize batch and real-time data processing solutions using modern cloud and lakehouse technologies.
• Partner with Risk, Product, Data Science, and Engineering teams to translate requirements into technical solutions.
• Develop reusable frameworks, components, and engineering patterns to improve efficiency and consistency.
• Implement data quality controls, monitoring, and observability for data reliability and trustworthiness.
• Support migration of assets into Databricks and cloud-native platforms.
• Build and maintain curated datasets for lending decisioning and risk analytics.
• Participate in architecture discussions and provide technical recommendations for platform enhancements.
• Troubleshoot production issues and drive root cause analysis to improve reliability and performance.
• Follow engineering best practices for code quality, testing, deployment automation, security, and operations.
• Mentor junior engineers through code reviews and knowledge sharing.
• Continuously evaluate scalability, performance, cost efficiency, and maintainability of data platforms.

Skills

Databricks

Apache Spark

PySpark

Hadoop

SQL

Python

Data modeling

CI/CD

Airflow

Java

Tools

Airflow

Databricks

Job description

Tata Consultancy Services in Mexico City is seeking a seasoned Data Engineer to design, develop, and maintain scalable data pipelines for Enterprise Credit Risk initiatives. You will work with Databricks, Spark, PySpark, Hadoop, SQL and Python, building batch and real-time solutions and mentoring juniors.

Hybrid role requiring presence at the Mexico City office (Av. Reforma) two days per week, with collaboration across Risk, Product, Data Science, and Engineering teams to deliver robust data