We are seeking an experienced Lead Data Engineer to design, build, and optimize scalable data pipelines, infrastructure, and architectures. This role will lead a team of data engineers, providing technical guidance and ensuring best practices in data management, governance, and performance. The adecuado candidate has a strong background in big data technologies, cloud platforms, and modern data engineering practices, with the ability to collaborate cross-functionally to deliver high-quality data solutions.

? Location: Providencia, Guadalajara, Mexico
?️ Language: Bilingual (English & Spanish)
? Work Authorization: Must be legally authorized to work and currently residing in Mexico.

Key Responsibilities
- Lead the design, development, and maintenance of data pipelines and ETL processes.
- Oversee data modeling, integration, and transformation to ensure availability and reliability of data across systems.
- Manage and mentor a team of data engineers, fostering growth and technical excellence.
- Collaborate with data scientists, analysts,



and business stakeholders to understand requirements and deliver data solutions.
- Ensure data governance, quality, security, and compliance with industry standards.
- Evaluate and implement new tools, frameworks, and best practices in data engineering.
- Monitor and optimize system performance, scalability, and cost efficiency.
- Drive adoption of cloud-based data platforms (AWS, Azure, GCP) and modern data stack technologies.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering, with at least 2+ years in a leadership role.
• Strong expertise in SQL, data modeling, and distributed data processing.
• Hands-on experience with big data technologies (Spark, Hadoop, Kafka, etc.).
• Proficiency in Python, Scala, or Java for data engineering tasks.
• Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse, or similar).
• Knowledge of workflow or

📌 Lead Data Engineer (Guadalajara)
🏢 FlexTal Staffing
📍 Guadalajara