Data Engineer

Ben & Frank; Xico; Presencial; MXN 600.000 - 900.000; A tiempo parcial

Descripción de la vacante

Ben & Frank is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures in Guadalajara, Jalisco. You will handle batch and real-time processing, ETL/ELT workflows, and ensure data quality and security across the platform.

Join a rapidly growing tech firm focused on data-driven decisions. You will collaborate with data scientists and analysts, implement monitoring, and document data processes to build a robust data ecosystem.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related quantitative field.
• 5+ years of experience in data engineering.

Responsabilidades

• Design, build, and maintain scalable data pipelines for batch and real-time processing.
• Develop and manage ETL/ELT processes to ingest data into data warehouses and data lakes.
• Optimize data infrastructure for performance, scalability, and cost-efficiency.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
• Implement data quality checks and monitoring systems for accuracy and integrity.
• Design and implement data models for analytical and reporting purposes.
• Evaluate and recommend new technologies to enhance the data platform.
• Maintain documentation for data pipelines, architectures, and processes.
• Ensure data security and regulatory compliance.
• Troubleshoot and resolve data pipeline issues.

Conocimientos

Data pipelines

ETL/ELT

Performance optimization

Data security

Cross-functional collaboration

Data modeling

Documentation

Monitoring

Educación

Bachelor’s or Master’s in CS/Engineering

Descripción del empleo

Our client, a rapidly growing tech firm, is looking for a Senior Data Engineer to build and optimize their data infrastructure in Guadalajara, Jalisco . This role is crucial for enabling data-driven decision-making across the organization. The ideal candidate will have extensive experience designing, constructing, installing, and maintaining scalable data pipelines and architectures. You will work with large, complex datasets and cutting-edge technologies to ensure data is accessible, reliable, and efficiently processed. We seek a meticulous and proactive individual passionate about data quality and performance, ready to tackle challenging data problems and contribute to building a robust data ecosystem.

About the Role

Our client, a rapidly growing tech firm, is looking for a Senior Data Engineer to build and optimize their data infrastructure in Guadalajara, Jalisco . This role is crucial for enabling data-driven decision-making across the organization. The ideal candidate will have extensive experience designing, constructing, installing, and maintaining scalable data pipelines and architectures. You will work with large, complex datasets and cutting-edge technologies to ensure data is accessible, reliable, and efficiently processed. We seek a meticulous and proactive individual passionate about data quality and performance, ready to tackle challenging data problems and contribute to building a robust data ecosystem.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for batch and real-time data processing.
• Develop and manage ETL/ELT processes to ingest data from various sources into data warehouses and data lakes.
• Optimize data infrastructure for performance, scalability, and cost-efficiency.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
• Design and implement data models for analytical and reporting purposes.
• Evaluate and recommend new technologies and tools to enhance the data platform.
• Develop and maintain documentation for data pipelines, architectures, and processes.
• Ensure data security and compliance with relevant regulations.
• Troubleshoot and resolve issues related to data pipelines and infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in data engineering, with a