Lead Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🇲🇽 Mexico – Remote

💵 $110k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GSB Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

GSB Solutions is a global company specializing in offering advanced technological solutions and human capital management to meet the needs of various institutions. With a strong presence in Latin America, GSB Solutions leads the digital transformation through innovative solutions such as software development, IT consulting, and comprehensive cybersecurity services. The company also focuses on educational programs and training to enhance workforce skills. Additionally, GSB provides telecom services that create global connections, facilitating seamless international collaboration. Their expertise extends to managing and integrating technologies across sectors, ensuring growth and innovation for their clients.

📋 Description

• 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

🎯 Requirements

• Senior / Lead-level Data Engineering experience • Strong hands-on experience building production-grade data engineering solutions • Advanced proficiency in Python, PySpark/Spark, and SQL • Strong experience with Databricks • Hands-on experience with the Hadoop ecosystem, including 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 • 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 technical and non-technical stakeholders • Advanced conversational English and Spanish essential; will be evaluated • If a foreigner residing in Mexico, valid INE, CURP, NSS, and RFC required • Must be located in México • Must have a visa to work in Mexico

🏖️ Benefits

• Excellent superior benefits