Senior Data Engineer — AI/ML Data Pipelines (Hybrid MX)

Corning Inc.

Monterrey

Híbrido

MXN 600.000 - 900.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement
Competitive compensation and benefits

Descripción de la vacante

Corning Inc. in Monterrey (hybrid) seeks a Senior Data Engineer to design, build, and optimize scalable ETL/ELT pipelines and cloud-based data solutions that support manufacturing, analytics, and AI/ML initiatives.

You will lead complex projects, mentor engineers, partner with stakeholders, and ensure data quality and observability across production pipelines.

Join a global team delivering high-impact data products for operations and decision-making.

Formación

  • Bachelor's degree in a related technical field.
  • 3+ years in Data Engineering or a data-focused role designing, building, or supporting production data pipelines.
  • 2+ years hands-on experience with Python and building data pipelines in production.

Responsabilidades

  • Design, build, optimize, and maintain scalable ETL/ELT pipelines for batch and near-real-time use cases.
  • Develop reliable datasets supporting manufacturing visibility, analytics, reporting, and AI/ML applications.
  • Implement automated data-quality checks, monitoring, and observability to improve data reliability.

Conocimientos

Python
Spark / PySpark
SQL
Cloud platforms (AWS/Azure/GCP)
Data modeling
Leadership & mentoring
Communication

Educación

Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related discipline

Herramientas

Databricks
Airflow
Kafka
Snowflake

Descripción del empleo

Corning Inc. in Monterrey (hybrid) seeks a Senior Data Engineer to design, build, and optimize scalable ETL/ELT pipelines and cloud-based data solutions that support manufacturing, analytics, and AI/ML initiatives.

You will lead complex projects, mentor engineers, partner with stakeholders, and ensure data quality and observability across production pipelines.

Join a global team delivering high-impact data products for operations and decision-making.

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