DATA ENGINEER

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