Job Summary: A Data Engineer is responsible for designing, building, and maintaining large-scale data systems that enable data-driven decision-making. They work with various stakeholders to understand data requirements, data architectures, and implement data pipelines to support business intelligence, analytics, and data science initiatives. Envíe su CV y cualquier información adicional requerida después de haber leído esta descripción, haciendo clic en el botón de solicitud.Required Experience: Bachelor’s Degree in MIS/Engineering/Computer Science Data Warehousing / BI Certification a plus Advanced in SQL 5+ Experience working with at least two of the top ETL tools: DBT, PWC, ODI, Datastage, DBT (mandatory) 3+ years working with cloud environments AWS, Azure 3+ years working with Apache Airflow 5+ years working in an IT function 5+ years of BI development, analyst, data modelling, and support experience 5+ years of Relational Database Oracle, SQL Server, or 5+ years of Columnar Database Redshift 3+ years of Spark, Glue, EMR 3+ Experience in scalable python development, (PySpark, Spark SQL) 2+ Experience working with at least two of the top BI tools: Tableau, Qlik, OBIEE Flexible to adapt and quickly (willing to) learning different technologies. Other Requirements English C1 Ability to cooperate and work in multicultural environment Communication and teaching oriented, knowledge