Principal Data Engineer (Zapopan)

Career Level – IC4

Data Engineering

• Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from diverse sources.
• Implement and optimize distributed computing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink to handle big data processing tasks efficiently.
• Collaborate with cross‑functional teams to understand data requirements and deliver innovative solutions for data ingestion, transformation, and storage.
• Monitor and troubleshoot data pipeline performance issues, implementing solutions to improve reliability and efficiency.

Data Warehousing

• Design dimensional data models and database schemas optimized for analytical queries and reporting needs.
• Develop and maintain ETL workflows to extract, transform, and load data from source systems into the data warehouse, ensuring data quality and consistency.
• Imp...