Ingeniero de Datos - Plataforma de IA

Placements24; San Luis Potosí; Ibrido; MXN 420.000 - 700.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health and life insurance

Retirement plan

Flexible work schedule

Professional growth opportunities

Paid time off

Descrizione del lavoro

Placements24 is seeking a skilled Data Engineer to join our AI platform team in San Luis Potosí. This hybrid role combines remote work with in-office collaboration to design, build, and maintain scalable data pipelines that support AI and ML initiatives.

You will work with diverse data sources, ensure data quality and security, and collaborate with data scientists and ML engineers to enable data-driven decisions across the product.

Competenze

• Bachelor's degree in CS/Engineering or related field.
• 3+ years of Data Engineer experience supporting AI/ML teams.
• Proficient in SQL and experience with relational and NoSQL databases.
• Experience with Spark, Hadoop and Kafka.
• Hands-on with cloud platforms (AWS, GCP, or Azure) and data services.
• Experience with Airflow for data pipelines.
• Strong Python or Scala programming skills.
• Familiar with data warehousing concepts and data modeling.
• Good communication for a hybrid work environment.

Mansioni

• Design, build, and maintain scalable data management systems and pipelines.
• Develop and optimize ETL/ELT processes to ingest and transform data.
• Build data models to support analytics and machine learning workflows.
• Collaborate with data scientists and ML engineers to understand data requirements.
• Ensure data quality, integrity, and security across data platforms.
• Implement monitoring and alerting for data pipelines to ensure reliability.
• Optimize data storage and processing for performance and cost-efficiency.
• Stay updated on emerging data engineering technologies and best practices.

Conoscenze

SQL

NoSQL

Big data

Spark

Hadoop

Kafka

Airflow

Python

Scala

Cloud platforms

Data warehousing

Data modeling

Formazione

Bachelor's degree in Computer Science, Engineering, or related field

Strumenti

Airflow

Spark

Hadoop

Kafka

AWS

GCP

Azure

Descrizione del lavoro

About the Role

Our client is seeking a skilled Data Engineer to join their AI platform team. This is a hybrid role based in San Luis Potosí, San Luis Potosí , offering a mix of remote work and in-office collaboration. You will be responsible for designing, building, and maintaining scalable data pipelines that support our AI and machine learning initiatives. Your role is crucial in ensuring the availability, quality, and accessibility of data for our data scientists and ML engineers. You will work with diverse data sources and implement robust data solutions to fuel our AI-driven products and services. This position requires a strong understanding of data warehousing, ETL processes, and cloud data services.

Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
• Develop and optimize ETL/ELT processes to ingest and transform data from various sources.
• Build data models that support analytics and machine learning workflows.
• Collaborate with data scientists and ML engineers to understand their data requirements.
• Ensure data quality, integrity, and security across all data platforms.
• Implement monitoring and alerting for data pipelines to ensure reliability.
• Optimize data storage and processing for performance and cost-efficiency.
• Stay updated on emerging data engineering technologies and best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience as a Data Engineer, with experience supporting AI/ML teams.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services.
• Experience in designing and implementing data pipelines using tools like Airflow.
• Strong programming skills in Python or Scala.
• Familiarity with data warehousing concepts and data modeling techniques.
• Good communication and collaboration skills for a hybrid work environment.

Benefits

This hybrid role in San Luis Potosí, San Luis Potosí offers a competitive salary, comprehensive health and life insurance, and retirement plan benefits. Employees enjoy a flexible work schedule, promoting a healthy work-life balance. Opportunities for professional growth, training, and participation in challenging data projects are abundant. You will be part of a collaborative team leveraging data to drive AI innovation. Additional benefits include paid time off and a supportive work culture that values individual contributions and team success.