We are looking for a Senior Data Engineer / Technical Lead with 5+ years of experience and strong hands-on expertise in SQL, Python, Spark/PySpark, and Azure (Azure Data Factory, Synapse, Apache Airflow). The adecuado candidate should have solid experience in ETL pipeline development, data integration, and data modeling, as well as the ability to provide technical guidance to engineering teams and communicate effectively with international clients in English. Location: Brazil or Argentina. REQUIREMENTS: - 5+ years of experience in Data Engineering, including hands-on development of ETL pipelines and data integration solutions - Advanced proficiency in SQL and Python for data processing, transformation, and optimization - Strong experience with Spark and PySpark for distributed data processing - Hands-on experience with Azure data technologies and cloud-based data platforms - Advanced proficiency with Azure Synapse,



Azure Data Factory and/or Apache Airflow for workflow orchestration and scheduling - Strong understanding of Data Architecture, Data Modeling, Data Quality, Data Integration, and SQL and ETL performance optimization - Proven ability to provide technical guidance to engineering teams and serve as a technical reference throughout project delivery - Strong working proficiency in English for daily communication with international clients and teams - Client-facing, communication, analytical, and problem-solving skills - Exposure to Microsoft Fabric, Hadoop, Hive, Kafka, Power BI, or Tableau as a plus - Experience with healthcare or pharmaceutical data environments as an advantageSelling PointsRESPONSIBILITIES - Design and develop scalable ETL and data integration pipelines across Azure data environments - Own technical implementation and solution quality, ensuring reliable, scalable, and maintainable data processing - Collaborate with clients, Solution Archite

📌 Lead Data Engineer (Azure) (Buenos Aires)
🏢 AIDA Recruitment
📍 Buenos Aires