- Rio Lerma No. 232 Mexico City 06500 Mexico

We are looking for a talented Data Engineer to join our dynamic team and help us leverage data to drive business insights and innovation.

Responsibilities:

- Design, develop, and maintain scalable data pipelines and ETL processes using GCP services.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Implement data integration solutions to ingest, process, and store large volumes of data from various sources.
- Optimize and troubleshoot data workflows to ensure high performance and reliability.
- Develop and maintain data models, schemas, and documentation.
- Ensure data quality, integrity, and security across all data pipelines.
- Monitor and manage cloud resources to ensure cost-effective and efficient data processing.

Qualifications

- Bachelor's degree in Computer Science, Engineering, or a related field.




- Proven experience as a Data Engineer or in a similar role.
- Proficiency in Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Strong proficiency in Python for data processing and automation.
- Expertise in designing and implementing ETL processes.
- Familiarity with SQL and database management systems.
- Knowledge of data warehousing concepts and best practices.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.

Preferred Qualifications:

- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with data visualization tools (e.g., Looker, Tableau).
- Understanding of machine learning and data science concepts.

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📌 Associate Data Engineering(GCP) (Ciudad de México)
🏢 Publicis Sapient
📍 Ciudad de México