Data Engineer – Lead

Job not on LinkedIn

🕒 August 26

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 39%

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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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Design and build scalable, cloud-native data platforms for modern data engineering practices • Mentor and guide other engineers, sharing knowledge, reviewing code, and fostering continuous improvement • Create robust, maintainable ETL/ELT pipelines integrating diverse systems for business-critical use cases • Write high-quality, testable code and participate in architecture and design discussions • Decompose complex problems into modular, efficient, and scalable components aligned with platform and product goals • Support data governance and quality efforts, including data lineage, cataloging, and access management • Participate in architectural discussions, iteration planning, and feature sizing meetings

🎯 Requirements

• Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - Databricks) • High proficiency in Python, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi), and SQL • Hands-on experience with cloud data platforms such as Databricks and Snowflake (Databricks preferred) • Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend • Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability • Strong problem-solving skills and ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders • Experience developing Java-based applications is an added advantage