**Responsabilities**
The incumbent for the position is expected to deliver but not limited to the following responsibilities:
- **Collaboration and Support**: Collaborate with cross-functional teams to understand data requirements and provide technical support for data-related initiatives and projects.
- **Data Pipeline Implementation**: Design, develop and maintain scalable data pipelines to ingest, transform, and load data from various sources into cloud-based storage and analytics platforms using Python, PySpark, and SQL
- **Data Infrastructure Development**: Design, build, and maintain scalable data infrastructure on Azure / AWS / GCP using PySpark for data processing to support various data initiatives and analytics needs within the organization
- **Performance Optimization**: - Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness, leveraging PySpark's capabilities. - Implement data quality checks and monitoring to ensure the reliability and integrity of data pipelines.
- **Build and optimize data warehouse solutions** for efficient storage and retrieval of large volumes of structured and unstructured data.
- **Data Governance and Security**: Implement data governance policies and security controls to ensure compliance and protect sensitive information across Azure, AWS and GCP environments.
- Bachelor’s degree in computer science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred
- 2 years of experience as Data Engineer
- Cloud data storage is mandatory
- Strong understanding of data modeling, ETL processes, and data warehousing concepts
- Experience in SQL language,



relational data modelling and sound knowledge of Database administration is mandatory
- Proficiency in Python related to Data Engineering for developing data pipelines, ETL (Extract, Transform, Load) processes, and automation scripts.
- Proficiency in Microsoft Excel
- Experience within integrating data management into business and data analytics is mandatory
- Experience working with cloud platform for deploying and managing scalable data infrastructure
- Experience working with technologies such as DBT, airflow, snowflake, Databricks among others is a plus
- Excellent Stakeholder Communication
- Familiarity with working with numerous large data sets
- Comfort in a fast-paced environment
- Strong analytical skills with the ability to collect, organize, analyses, and disseminate significant amounts of information with attention to detail and accuracy
- Excellent problem-solving skills
- Advanced English is mandatory
- Strong interpersonal and communication skills for cross-functional teams
- Proactive approach to continuous learning and skill development
Información Adicional
Hybrid in CDMX (3 days on-site and 2 days home office) 2 DP days and 5 extra vacation days
Tipo de puesto: Jornada completa, Por tiempo indeterminado
Sueldo: $30,000.00 - $45,000.00 al mes
Pregunta(s) de postulación:
- ¿Actualmente vives en CDMX? ¿Te es viable trabajar 2-3 días por semana en oficinas en Santa, Fe, CDMX?
Experiência:
- Python: 3 años (Obligatorio)
- Pyspark: 2 años (Obligatorio)
- ETL pipelines: 2 años (Obligatorio)
- Cloud services: 1 año (Obligatorio)
Idioma:
- inglés avanzado (Obligatorio)
Lugar de trabajo: remoto híbrido en 01376, Santa Fe, CDMX

📌 Data Engineer Jr/mid (Santa Fe)
🏢 Ryscode
📍 Santa Fe