Overview We are looking for a Lead Data Engineer who will help in implementing data analytics products using on-prem and cloud data platforms.

Position Responsibilities

As a Lead Data Engineer, you will:

- Design and build scalable, cloud-native data platforms for modern data engineering practices.

- Mentor and guide other engineers, sharing knowledge, reviewing code, and fostering a culture of curiosity, growth, and continuous improvement.

- Create robust, maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases.

- Lead by example—write high-quality, testable code and participate in architecture and design discussions with a long-term view in mind.

- Decompose complex problems into modular, efficient, and scalable components that align with platform and product goals.

- Support data governance and quality efforts, ensuring data lineage, cataloging, and access management are built into the platform.

- Participate in architectural discussions, iteration planning, and feature sizing meetings

SKILLS





- 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 using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

- Hands-on experience with cloud data platforms such as databricks, 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 with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

- Experience developing Java based applications is an added advantage

hybrid GDL offices techM remote

📌 Data Engineer Lead (Guadalajara)
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