Sigma Software
Data Engineer
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• 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 PERSONAL PROFILE:• Strong ownership mindset • Attention to detail • Proactive communication skills • Collaborative and team-oriented attitude • Ability to work independently in remote environments Do you enjoy building scalable data platforms that power business-critical decisions?