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Key Responsibilities
Act as technical lead in the design and implementation of scalable data solutions (batch and real-time); Develop and optimize data pipelines for large-scale data processing; Implement data-driven solutions using Big Data, distributed systems, and Machine Learning; Work in cloud environments, mainly Google Cloud Platform (GCP) ; Collaborate closely with Data Scientists and multidisciplinary teams; Support and mentor team members on technical challenges. Required Profile: Degree in IT, Computer Engineering, or related field; 3 to 9 years of experience in Data Engineering; Experience withSpark, Python, Java, or Scala ; Knowledge of GCP services (BigQuery, Dataproc, GCS, Composer, GKE); Solid experience with SQL, data lakes/warehouses, and ETL tools; Familiarity with Airflow, CI/CD processes, and DevOps practices; Knowledge of Azure and PowerBI is a plus. If you are looking for a technical leadership role in an international and innovative environment, this opportunity is for you
