Ingeniero de Datos para Plataformas de IA Escalables

Placements24; Región Centro; Hybrid; MXN 420,000 - 700,000; Full time

Job summary

Placements24 in Guadalajara, Jalisco is seeking an experienced Data Engineer to design and maintain the data infrastructure powering our AI platforms.

You will build scalable data pipelines, manage data warehouses and data lakes, ensure data quality, and collaborate with data scientists and ML engineers to support analytics and model training. A hybrid work model in Guadalajara offers balanced collaboration and focused work.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Strong programming skills in Python or Java.
• Experience with big data technologies like Apache Spark, Hadoop, Kafka.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Understanding of data warehousing concepts and ETL best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Experience working in a hybrid model in the Guadalajara, Jalisco area is preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and manage data warehousing solutions and data lakes.
• Implement data quality checks and monitoring systems to ensure data integrity.
• Optimize data infrastructure for performance, reliability, and cost-effectiveness.
• Collaborate with data scientists and ML engineers to understand data requirements and provide necessary support.
• Implement data governance and security best practices.
• Work with big data technologies such as Spark, Hadoop, and distributed databases.
• Automate data processes and infrastructure management tasks.
• Stay updated on emerging trends and technologies in data engineering and big data.

Skills

SQL

Python/Java

Data modeling

Distributed systems

Data governance

Teamwork

Problem solving

Education

Bachelor's or Master's in CS/Engineering

Tools

Apache Spark

Hadoop

Kafka

Job description

About the Role

Our client is a leader in Research and Development, pushing the boundaries of what's possible with data and AI. We are seeking a skilled Ingeniero de Datos to design, build, and maintain the data infrastructure that powers our advanced AI platforms. This role, based in the bustling tech hub of Guadalajara, Jalisco, is crucial for ensuring the efficient flow, processing, and storage of vast amounts of data required for machine learning and analytics. You will work with cutting-edge technologies to create robust data pipelines, implement data warehousing solutions, and ensure data quality and accessibility for our data science and engineering teams. The ideal candidate has a strong background in data engineering, distributed systems, and a passion for enabling data-driven innovation. This is an excellent opportunity to contribute to high-impact R&D projects in a dynamic and collaborative environment. We offer a hybrid work model, providing a balance between focused work and team interaction in Guadalajara.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and manage data warehousing solutions and data lakes.
• Implement data quality checks and monitoring systems to ensure data integrity.
• Optimize data infrastructure for performance, reliability, and cost-effectiveness.
• Collaborate with data scientists and ML engineers to understand data requirements and provide necessary support.
• Implement data governance and security best practices.
• Work with big data technologies such as Spark, Hadoop, and distributed databases.
• Automate data processes and infrastructure management tasks.
• Stay updated on emerging trends and technologies in data engineering and big data.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Strong programming skills in Python or Java.
• Experience with big data technologies like Apache Spark, Hadoop, Kafka.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Understanding of data warehousing concepts and ETL best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Experience working in a hybrid model in the Guadalajara, Jalisco area is preferred.

Benefits

Our client offers a competitive salary, comprehensive benefits, and performance bonuses. The hybrid work model provides flexibility, and our office in Guadalajara is a modern space fostering collaboration. We support continuous learning through training and conferences. Join a team dedicated to building the foundation for groundbreaking AI research and development.