Lead Data Engineer ON SITE in GDL

gsbsolutions1; Región Centro; Presencial; MXN 99.000 - 121.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Excellent superior benefits

Descripción de la vacante

gsbsolutions1 is seeking a Lead Data Engineer to design and implement scalable data analytics solutions across on-premises and cloud data platforms in Guadalajara, Mexico. You will lead production-grade data pipelines and mentor a team of data engineers.

The role requires deep hands-on experience with Python, Spark, SQL, Hadoop and Databricks, plus strong leadership and architectural input. On-site in Guadalajara with excellent benefits and growth opportunities.

Formación

• Strong hands-on experience building production-grade data engineering solutions.
• Advanced proficiency in Python, PySpark/Spark, and SQL.
• Experience with Databricks; Snowflake is a plus.
• Hands-on experience with the Hadoop ecosystem (Hive/Impala).
• Experience with Airflow, NiFi, or Talend for ETL/ELT data pipelines.
• Experience with distributed data processing and CI/CD practices.

Responsabilidades

• Design and build scalable, cloud-native data platforms and pipelines.
• Develop robust ETL/ELT pipelines integrating data from multiple sources.
• Build production-grade data solutions using Python, Spark, SQL, and Databricks.
• Design modular, maintainable data processing components.
• Participate in architecture and technical design decisions.
• Lead code reviews and promote best practices.

Conocimientos

Python

PySpark/Spark

SQL

Databricks

Hadoop

ETL/ELT

Airflow/NiFi/Talend

Git/CI/CD/testing

Herramientas

Databricks

Snowflake

Hadoop ecosystem

Descripción del empleo

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 ideal 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.