Data Engineer

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Descrizione

Design, develop, and maintain scalable ETL/ELT pipelines Build and optimize data processing solutions using Python and Apache Spark Develop and support real-time data streaming applications using Kafka Design and implement enterprise data solutions leveraging Snowflake Build cloud-native data architectures and services on AWS Ensure data quality, reliability, scalability, and performance across the data ecosystem Troubleshoot, monitor, and optimize production data pipelines Participate in technical discussions, code reviews, and engineering best practice initiatives Collaborate with cross-functional teams to support data-driven business initiatives 4+ years of professional experience as a Data Engineer Strong experience with Python development Hands-on experience with Apache Spark Strong knowledge of Snowflake Experience building and maintaining ETL/ELT pipelines Experience with Apache Kafka and event-driven architectures Experience working with AWS cloud services Understanding of data modeling and data warehousing concepts Strong analytical, problem-solving, and communication skills Ability to work effectively in distributed teams Upper-Intermediate English level or higher WILL BE A PLUS: Experience with large-scale E-commerce platforms Familiarity with real-time analytics systems Knowledge of infrastructure automation and CI/CD practices Experience optimizing high-volume data processing pipelines Understanding of distributed systems concepts PERSON

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