Azcapotzalco, Mexico City
Job Summary
We are looking for strong Data Engineers with experience in building scalable data pipelines and working on modern cloud-based data platforms. The candidate should have hands-on experience in Apple’s preferred data engineering stack and should be comfortable working in a fast-paced Agile environment.
Key Responsibilities
Design, develop, and maintain scalable ETL/data pipelines
Build and optimize batch and streaming data processing workflows
Work closely with cross-functional teams including Data Analysts, Product Teams, and Platform Engineers
Ensure high data quality, reliability, and performance across pipelines
Troubleshoot production issues and perform performance tuning
Participate in Agile ceremonies and collaborate with distributed teams
Skill Requirements
Required Skills:
Strong experience in Python programming
Hands-on experience with Apache Spark / PySpark
Experience with Apache Airflow for workflow orchestration
Strong SQL skills and data modeling knowledge
Experience working with large-scale distributed data processing systems
Exposure to cloud platforms such as GCP / AWS
Experience with CI/CD and version control tools
Good understanding of data warehousing and big data concepts
Preferred Skills:
Experience with BigQuery, Iceberg, or Data Lake architectures
Exposure to Kafka or streaming technologies
Experience working in enterprise-scale data platforms
Familiarity with Agile/Scrum methodologies
Experience:
5+ years of relevant Data Engineering experience preferred
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