Data Engineer

Requerimientos del cargo • 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..

Funciones del cargo • 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.