Data Engineer
- 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. Helping translating business realities into data bases solution.
- Performance Optimization: Optimize data processing workflows and cloud resources for efficiency and cost-effectiveness. 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 cloud platforms environment.
- 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..
- Hibrido. 4x1 en Chile y 3x2 en México
- 2 DP Days libres por quarter
- Seguro de salud complementario en Chile
- almuerzo en oficina
- 5 días extra de vacaciones
Coderslab.io
Louis Dreyfus Company
Talent Folks
Devoteam
Sutherland