We are looking for an extraordinary professional to be Data Team Leader in a company that creates solutions in the area of Analytics, Business Intelligence & Big Data. This company works for IBEX-35 organizations. In this organization, you have the opportunity to set your time, talk about new challenges every 6 months, and have a permanent contract because they want to grow.As a professional, if you have:Degree in Computer Engineering or other academic output.At least 2 years as Data Engineer.Experience in leading projects.Knowledge of architecture and data life cycle in Data Lake environments, Data Warehouse, or other Data platforms.Knowledge in data management solutions such as Azure Data Factory, Azure Synapse, AWS Redshift, GCP Data Fusion, GCP Dataform, Google Bigquery, and other ecosystem services of data from different clouds such as Snow Flake or Firebolt.Experience working with Python, Docker, Airflow, Great Expectations, DBT Cloud, FiveTran, Argo, etc.Knowledge of different data modeling strategies: relational modeling, Kimball modeling, Data Vault modeling, plank modeling, hybrid data modeling, etc.We are looking for candidates who:Define and design modern data platforms in public cloud or private cloud covering the entire data life cycle under a strategy directed by metadata and based on DataOps.Deploy, integrate, and configure all components for the availability of said data platforms.Define at a methodological and governance level how the exercise of data architecture on these platforms should be considered.Develop end-to-end data management solutions as part of multidisciplinary teams, collaborating in the definition and implementation of the solution.Design and develop data models at a logical and physical level in different industries.Participate in the choice of new data platforms, new development strategies, new methodologies, and new partnerships with the company's Lead and the innovation department.Work with the innovation department in the task of refining and increasing the portfolio through the development of engineering artifacts applicable to the data and analytics ecosystem.We are waiting for you and willing to give you more information about this amazing opportunity! Let's talk about it?#J-18808-Ljbffr