Important IT company At the Latin American level, growth requires:

Lead Data Engineer

Experience: Senior / Lead-level Data Engineering

Focus: Big Data, Cloud Data Platforms, Databricks, ETL/ELT

We are seeking an experienced Lead Data Engineer to design and implement scalable data analytics solutions across on-premises and cloud data platforms. The idóneo candidate will have strong hands-on experience building production-grade data pipelines and Big Data solutions, with expertise in Python, Spark, SQL, Hadoop, and Databricks.

This role combines hands-on engineering with technical leadership, including architecture discussions, code reviews, mentoring, and driving best practices across data engineering initiatives.

Key Responsibilities

- Design and build scalable, cloud-native data platforms and pipelines.
- Develop robust ETL/ELT pipelines integrating data from multiple systems and sources.
- Build production-grade data solutions using Python, Spark, SQL, and Databricks.
- Design modular, maintainable, and scalable data processing components.
- Participate in architecture and technical design decisions.
- Lead code reviews and ensure engineering best practices, testing, and maintainability.
- Mentor and guide data engineers, promoting technical growth and knowledge sharing.
- Support data quality, governance, lineage, cataloging, and access management.
- Troubleshoot complex data and pipeline issues in production environments.
- Participate in planning, estimation, feature sizing, and technical discussions with cross-functional teams.

Mandatory Technical Skills

- Strong hands-on experience building production-grade data engineering solutions.




- Advanced proficiency in Python, PySpark/Spark, and SQL.
- Strong experience with Databricks; experience with Snowflake is a plus.
- Hands-on experience with the Hadoop ecosystem, including technologies such as Hive and Impala.
- Experience developing and managing data pipelines using Apache Airflow, Apache NiFi, or Talend.
- Experience with ETL/ELT, data integration, and distributed data processing.
- Strong understanding of Git, CI/CD, automated testing, and release pipelines.
- Experience troubleshooting and optimizing complex data pipelines and workloads.

Leadership & Architecture

- Proven experience acting as a technical lead or senior technical contributor within data engineering teams.
- Experience mentoring engineers and conducting technical/code reviews.
- Ability to decompose complex data problems into scalable and maintainable solutions.
- Experience participating in architecture and platform design decisions.
- Strong communication skills with both technical and non-technical stakeholders.

Preferred Skills

- Experience with Snowflake or additional cloud data platforms.
- Experience with Java-based applications.
- Experience with data governance, data cataloging, lineage, and observability.
- Experience designing or modernizing on-premises data platforms into cloud-based architectures.

ADVANCED CONVERSATIONAL ENGLISH AND SPANISH ESSENTIAL (Will be evaluated). If you are a foreingner residing in Mexico, you must have a valid INE, CURP, NSS and RFC.

Job type: ON SITE GDL

Location: Guadalajara Mexico.

Salary: $110,000 gross.

Benefits: Excellent superior benefits.

📌 Lead Data Engineer ON SITE in GDL (Guadalajara)
🏢 Gsb Solutions
📍 Guadalajara