Data Engineer / Integrations Specialist - Contract

Tech Holding; Región Centro; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Tech Holding in Guadalajara is seeking a Data Engineer to design, build, and optimize scalable data pipelines and data storage solutions. The role emphasizes ETL/ELT, data quality, and cloud-based infrastructure with a mix of on-site collaboration and remote flexibility.

The ideal candidate will have experience with data warehousing, large-scale datasets, and cloud data platforms across AWS, Azure, and GCP, supporting data scientists and analysts in deriving insights.

Qualifications

• Strong background in data warehousing, ETL processes, and large-scale datasets.
• Experience designing, implementing, and maintaining data solutions.
• Proactive problem-solving mindset with passion for data quality and cloud data platforms.

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT).
• Develop and optimize data warehouses and data lakes using cloud technologies (AWS, Azure, GCP).
• Ensure data quality, integrity, and consistency across data systems.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs.
• Implement data governance and security best practices.
• Automate data processes and monitor performance.

Skills

Data warehousing

ETL

Large-scale datasets

Tools

AWS

Azure

GCP

Job description

Ingeniero de Datos (Data Engineer)

Our client, a leading data analytics firm focused on leveraging big data to drive business insights, is seeking an experienced Ingeniero de Datos (Data Engineer) to join their team in Guadalajara. This hybrid role combines on-site collaboration with remote flexibility, allowing you to contribute to building and optimizing robust data pipelines and infrastructure. The ideal candidate will have a strong background in data warehousing, ETL processes, and working with large-scale datasets. You will be responsible for designing, implementing, and maintaining data solutions that enable data scientists and analysts to derive meaningful insights. This position requires a proactive approach to problem-solving, a passion for data quality, and a solid understanding of cloud data platforms.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for data ingestion, transformation, and loading (ETL/ELT).
• Develop and optimize data warehouses and data lakes using cloud-based technologies (e.g., AWS, Azure, GCP).
• Ensure data quality, integrity, and consistency across all data systems.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Implement data governance and security best practices.
• Automate data processes and monitor