Ingeniero de Datos Senior para IA en Puebla

Placements24; Puebla de Zaragoza; Hybrid; MXN 800.000 - 1.100.000; Vollzeit

Benefits dieser Stelle

Competitive salary and bonuses

Hybrid work arrangement

Health, dental, and vision insurance

Professional development opportunities

Zusammenfassung

Placements24 is seeking a Senior Data Engineer for AI in Puebla to design, build, and maintain scalable data pipelines supporting AI/ML initiatives.

You will work with data scientists and ML engineers, ensuring data quality and accessibility while leveraging big data tools and cloud services in a hybrid Puebla office environment.

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field.
• 5+ years of data engineering experience, especially supporting AI/ML projects.
• Proficiency in SQL and Python.
• Hands-on experience with Spark, Hadoop, or similar distributed systems.

Aufgaben

• Design, build, and maintain scalable data pipelines for AI/ML applications.
• Develop data acquisition, cleaning, transformation, and feature engineering processes.
• Ensure data quality, integrity, and security across data systems.
• Collaborate with data scientists and ML engineers to provide tailored datasets.
• Implement data governance policies and best practices.
• Monitor data infrastructure performance and troubleshoot issues.

Kenntnisse

SQL

Python

Spark

Hadoop

Kafka

Cloud platforms (AWS/Azure/GCP)

ETL/ELT

Data modeling

Communication

Ausbildung

Bachelor's or Master's degree in CS/Engineering/Statistics

Tools

Docker

Kubernetes

Apache Hadoop

Apache Spark

Kafka

Databricks

Redshift/BigQuery

Jobbeschreibung

About the Role

Our client is a dynamic leader in the field of artificial intelligence and emerging technologies, seeking a highly skilled Ingeniero de Datos Senior para IA to join their innovative team in Puebla, Puebla, MX. This role is crucial for building and maintaining the data infrastructure that powers our client’s advanced AI models and solutions. You will be responsible for designing, developing, and managing robust data pipelines, ensuring data quality, and making large datasets accessible for machine learning initiatives. This is an excellent opportunity for a data professional who is passionate about leveraging data to drive AI advancements and wants to work on impactful projects in a collaborative environment. You will work closely with data scientists, ML engineers, and analysts to unlock the full potential of data. The position offers a hybrid work model, combining the benefits of remote flexibility with in‑office collaboration in Puebla, Puebla, MX.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for AI/ML applications.
• Develop processes for data acquisition, cleaning, transformation, and feature engineering.
• Ensure data quality, integrity, and security across all data systems.
• Optimize data storage and retrieval for performance and cost‑efficiency.
• Collaborate with data scientists and ML engineers to understand data needs and provide tailored datasets.
• Implement data governance policies and best practices.
• Monitor data infrastructure performance and troubleshoot issues.
• Work with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud data services.
• Develop data models and schemas to support AI initiatives.
• Contribute to the development of data strategies and roadmaps.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
• 5+ years of experience in data engineering, with a strong focus on supporting AI/ML projects.
• Proficiency in SQL and scripting languages like Python.
• Hands‑on experience with big data technologies such as Apache Spark, Hadoop, or similar distributed systems.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery, Databricks).
• Familiarity with data warehousing concepts and ETL/ELT processes.
• Understanding of machine learning concepts and workflows.
• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Hybrid work arrangement for work‑life balance.
• Professional development opportunities and training programs.
• Generous paid time off and holidays.
• Access to advanced data tools and technologies.
• Collaborative and forward‑thinking work environment.
• Company-sponsored events and team‑building activities.
• Retirement savings plan with matching contributions.
• Modern office space in Puebla, Puebla, MX.