Data Engineer
Decision Point Latam
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- Ubicación
- Santiago, Metropolitana
- Modalidad
- Híbrido
- Jornada
- Jornada completa
- Publicado
- 17 ago
La fuente no informa: contrato, experiencia, sueldo, cierre.
Resumen
- Data Infrastructure Development: Design, build, and maintain scalable data infrastructure on Cloud Platforms for data processing to support various data initiatives and analytics needs within the organization
- 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, and SQL
- Collaboration and Support: Collaborate with cross-functional teams to understand data requirements and provide technical support for data-related initiatives and projects.
Requisitos y detalle del puesto
- Bachelor’s degree in computer science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred.
- Advanced English is mandatory
- 1+ 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
- Strong interpersonal and communication skills for cross-functional teams
- Proactive approach to continuous learning and skill development
- Experience in leading or collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in a production setting..
Dónde postular
- Get on Board ↗ · visto por primera vez el 31 oct
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