3 publicaciones de empleo destacadas de lead data engineer on site in gdl en comercial abastos jal. (¡Están contratando!)

Lead Data Engineer ON SITE in GDL
GSB Solutions —Guadalajara, Jal.
- $110,000 por año
- Tiempo completo
- Inglés
- Java
- SQL
Postulación rápida
9d
Software Development Specialist Advisor
NTT Ltd —Guadalajara, Jal.
- Oracle
- SQL
- Desarrollo de software
1d
Project Program Mgmt. Specialist Advisor
NTT Ltd —Guadalajara, Jal.
- Oracle
- Administración de personal
- PMP

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SRE | On site in GDL or CDMX
GSB Solutions —Guadalajara, Jal.
Sound knowledge and extensive hands-on experience in cloud based architecture (Preferably in Azure and PCF). Must have - Production troubleshooting scenarios,…
$80,000 por mes
Postulación rápida
2d
Lead Data Engineer ON SITE in GDL
GSB Solutions —Guadalajara, Jal.
Troubleshoot complex data and pipeline issues in production environments. We are seeking an experienced Lead Data Engineer to design and implement scalable data…
$110,000 por año
Postulación rápida
9d

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Lead Data Engineer ON SITE in GDL

GSB Solutions -
Guadalajara, Jal.

Postulación rápida

Información del empleo

Tiempo completo
$110,000 por año
Hace 9 días

Cualificaciones

Plurilingüe
Big data
Spark
Git
Inglés
Apache Hive
Java
SQL
Licenciatura
JavaScript
Capacitación
Apache
Liderazgo
Python
Hadoop

Descripción completa 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.

Postulación rápida

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Lead Data Engineer ON SITE in GDL

Software Development Specialist Advisor

Project Program Mgmt. Specialist Advisor

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