Lead Data Engineer | Remote

GSB SolutionsMexicoOn-siteFull-timeSenior, 5–8 yearsListed 1 week ago

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About this role

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 : Remote

Location : Mexico.

Salary : $110,000 gross.

Benefits : Excellent superior benefits.