Lead Data Engineer ON SITE in GDL

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