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
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Design and build scalable, cloud-native data platforms and pipelines.
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Develop robust ETL/ELT pipelines integrating data from multiple systems and sources.
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Build production-grade data solutions using Python, Spark, SQL, and Databricks.
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Design modular, maintainable, and scalable data processing components.
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Participate in architecture and technical design decisions.
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Lead code reviews and ensure engineering best practices, testing, and maintainability.
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Mentor and guide data engineers, promoting technical growth and knowledge sharing.
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Support data quality, governance, lineage, cataloging, and access management.
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Troubleshoot complex data and pipeline issues in production environments.
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Participate in planning, estimation, feature sizing, and technical discussions with cross-functional teams.
Mandatory Technical Skills
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Strong hands-on experience building production-grade data engineering solutions.
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Advanced proficiency in Python, PySpark/Spark, and SQL.
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Strong experience with Databricks; experience with Snowflake is a plus.
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Hands-on experience with the Hadoop ecosystem, including technologies such as Hive and Impala.
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Experience developing and managing data pipelines using Apache Airflow, Apache NiFi, or Talend.
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Experience with ETL/ELT, data integration, and distributed data processing.
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Strong understanding of Git, CI/CD, automated testing, and release pipelines.
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Experience troubleshooting and optimizing complex data pipelines and workloads.
Leadership & Architecture
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Proven experience acting as a technical lead or senior technical contributor within data engineering teams.
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Experience mentoring engineers and conducting technical/code reviews.
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Ability to decompose complex data problems into scalable and maintainable solutions.
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Experience participating in architecture and platform design decisions.
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Strong communication skills with both technical and non-technical stakeholders.
Preferred Skills
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Experience with Snowflake or additional cloud data platforms.
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Experience with Java-based applications.
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Experience with data governance, data cataloging, lineage, and observability.
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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.
