Data Engineer Jr/mid

hace 1 día

Santa Fe, México Ryscode A tiempo completo

**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 developmentInformación AdicionalHybrid in CDMX (3 days on-site and 2 days home office) 2 DP days and 5 extra vacation daysTipo de puesto: Tiempo completo, Por tiempo indeterminadoSueldo: $30,000.00 - $45,000.00 al mesPregunta(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

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