Lead Data Engineer ON SITE in GDL

GSB Solutions; Región Centro; Presencial; MXN 94.000 - 127.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Superior benefits

Descripción de la vacante

GSB Solutions in Guadalajara, Mexico, seeks a Lead Data Engineer to design scalable data platforms spanning on-prem and cloud, lead technical initiatives, and mentor the team.

The role emphasizes hands-on pipeline development with Python, PySpark, SQL, Databricks, and Big Data tools, plus architecture discussions and governance.

On-site position with competitive benefits and opportunities to shape data strategy.

Formación

• Hands-on data engineering with production-grade pipelines.
• Strong Python, PySpark, SQL and Databricks proficiency.
• Experience with cloud data platforms and on-premises integration.

Responsabilidades

• Design and build scalable, cloud-native data platforms and pipelines.
• Develop ETL/ELT pipelines integrating data from multiple systems.
• Build production-grade data solutions with Python, Spark, SQL, and Databricks.
• Design modular, maintainable data processing components.
• Participate in architecture and technical design decisions.
• Lead code reviews and enforce engineering best practices.
• Mentor and guide data engineers, sharing knowledge.
• Support data quality, governance, lineage, cataloging, and access control.

Conocimientos

Python

PySpark

SQL

Databricks

Snowflake

Hadoop

Airflow

Data Pipelines

CI/CD

Code Reviews

Mentoring

Architecture

Herramientas

Airflow

NiFi

Talend

Hadoop

Git

CI/CD tools

Descripción del empleo

Lead Data Engineer

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

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.

Language & Eligibility

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.