Ingeniero de Datos con IA en Tlaquepaque

Placements24; Tlaquepaque; On-site; MXN 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Professional development

On-site work environment

Paid time off

Company holidays

Job summary

Placements24 in Tlaquepaque, Jalisco seeks a Data Engineer with AI expertise to design and maintain data pipelines for AI/ML workloads. You will implement ETL/ELT processes, data warehousing, and data lake architectures to support data scientists and analysts.

The role requires strong SQL, Python/Scala programming, and experience with Spark/Hadoop, plus cloud services (AWS/Azure/GCP). Collaboration and a focus on data quality are essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering with AI/ML data pipelines.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Strong programming skills in Python or Scala.
• Experience with big data technologies like Apache Spark and Hadoop ecosystem.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Understanding of data warehousing concepts and best practices.
• Experience building and optimizing data pipelines for ML models is a strong plus.

Responsibilities

• Design, build, and maintain scalable data pipelines for AI/ML workloads.
• Develop ETL/ELT processes to ingest, transform, and load data from various sources.
• Implement data warehousing solutions and data lake architectures.
• Ensure data quality, integrity, and consistency across all data systems.
• Collaborate with data scientists and ML engineers to understand data requirements.
• Optimize data infrastructure for performance, cost-efficiency, and scalability.
• Implement and manage data security and governance policies.
• Automate data-related tasks and processes.
• Stay current with emerging data engineering and AI technologies.
• Troubleshoot and resolve data pipeline issues.

Skills

SQL

Python

Scala

Apache Spark

Hadoop

AWS

Azure

GCP

Data warehousing

ETL/ELT

Docker

Kubernetes

Data quality

Data governance

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Job description

About the Role

Our client, a rapidly expanding data analytics firm, is seeking a skilled Data Engineer with expertise in Artificial Intelligence to join their innovative team in Tlaquepaque, Jalisco . This role is essential for building and maintaining robust, scalable data pipelines that support our advanced AI and machine learning initiatives. You will be responsible for designing, developing, and optimizing data infrastructure, ensuring data quality, availability, and performance for data scientists and analysts. We are looking for a technically proficient individual with a strong understanding of data warehousing, ETL processes, and the integration of AI/ML components. If you are passionate about enabling data-driven decision-making and thrive in a collaborative environment focused on Artificial Intelligence and Emerging Technologies, this is an excellent opportunity to grow your career.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for AI/ML workloads.
• Develop ETL/ELT processes to ingest, transform, and load data from various sources.
• Implement data warehousing solutions and data lake architectures.
• Ensure data quality, integrity, and consistency across all data systems.
• Collaborate with data scientists and ML engineers to understand data requirements.
• Optimize data infrastructure for performance, cost-efficiency, and scalability.
• Implement and manage data security and governance policies.
• Automate data-related tasks and processes.
• Stay current with emerging data engineering and AI technologies.
• Troubleshoot and resolve data pipeline issues.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 3 years of experience in data engineering.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Strong programming skills in Python or Scala.
• Experience with big data technologies like Apache Spark, Hadoop ecosystem.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Understanding of data warehousing concepts and best practices.
• Experience building and optimizing data pipelines for ML models is a strong plus.
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Excellent problem-solving and analytical skills.
• Good communication and teamwork abilities.

Benefits

• Competitive salary and benefits package.
• Performance bonuses and annual reviews.
• Opportunities for training and professional development in data engineering and AI.
• On-site work environment in a vibrant area of Tlaquepaque .
• Exposure to cutting-edge data technologies and AI projects.
• Supportive team environment with opportunities for collaboration.
• Generous paid time off and company holidays.
• Potential for career growth within a leading data firm.