Data Engineer - Mexico

Yeah! Global; Ciudad de México; Presencial; MXN 1.059.135 - 1.412.180; Jornada completa

Descripción de la vacante

A global tech firm is seeking a skilled Data Engineer in Mexico City to design and maintain data pipelines. The ideal candidate will work closely with data scientists and analysts, ensuring reliable data flow and integration from various sources. Responsibilities include optimizing database performance and managing ETL processes. Candidates must have a Bachelor's degree in Computer Science or related fields, with strong SQL skills and experience in big data technologies. Join us to support data-driven decisions in a dynamic environment.

Formación

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases.
• Knowledge of cloud-based data solutions like AWS or Azure.

Responsabilidades

• Design, develop, and maintain scalable and efficient data pipelines.
• Collaborate with data scientists to understand data requirements.
• Monitor and troubleshoot data-related issues.

Conocimientos

SQL

Data pipeline development

Python

Problem-solving

Communication

Educación

Bachelor's degree in Computer Science or related field

Herramientas

MySQL

Hadoop

Apache NiFi

AWS

Descripción del empleo

Note: Please share your resume in English only.

Job Summary

Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.

Key Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines.
• Integrate, clean, and organize raw data from various sources into structured formats.
• Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
• Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
• Optimize database performance and query execution.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Ensure data security and compliance with relevant data protection regulations.
• Monitor and troubleshoot data-related issues and provide timely resolutions.
• Document data engineering processes, architectures, and workflows.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred Skills

• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of data governance and data privacy regulations.
• Certification in data engineering or related fields.