Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
6+ years of experience in Data Engineering, Big Data Engineering, or related disciplines.
Strong experience with Python for data engineering and pipeline development.
Hands-on experience with Apache Airflow for workflow orchestration ( required ).
Advanced experience with PySpark , Spark SQL , and distributed data processing.
Experience with Scala in data engineering environments.
Strong knowledge of relational and NoSQL database technologies.
Experience writing and optimizing complex SQL queries.
Hands-on experience with Apache Kafka and event-driven architectures.




Experience building and supporting real-time data pipelines using Spark Streaming .
Strong experience with Google Cloud Platform (GCP) , specifically:
BigQuery
Experience integrating RESTful APIs into data pipelines and data workflows.
Experience implementing CI/CD practices using GitLab CI .
Strong understanding of data modeling, data quality, scalability, and performance optimization.
Excellent verbal communication and technical problem-solving skills.
Ability to explain design decisions and implementation approaches in a collaborative setting.

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📌 Senior Big Data Engineer (GCP / Python / PySpark /Streaming) (Ciudad de México)
🏢 Apex Systems
📍 Ciudad de México