Senior Data Engineer (Cybersecurity) at Sigma Software

Job description

Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization Analyze and deeply understand existing data models, workflows, tables, and processing jobs Identify technical gaps, bottlenecks, inefficiencies, and opportunities for architectural improvements Design, optimize, and support large-scale data pipelines and transformation processes Drive modernization initiatives across the data platform and contribute to long-term architectural evolution Optimize complex SQL queries and improve data processing latency and efficiency Collaborate with product engineering and cross-functional teams on technical solutions and implementation strategies Contribute to both short-term delivery goals and long-term platform development initiatives Ensure adherence to best practices in data engineering, system reliability, and performance optimization Participate in technical discussions, solution design, and continuous improvement initiatives 5+ years of commercial experience in Data Engineering Expert-level Python skills Expert-level SQL skills with practical experience optimizing complex queries for performance and scalability Strong hands-on experience with DBT for data transformation and modeling Solid understanding of database concepts, including DDL, DML, indexing, normalization, and advanced SQL techniques Hands-on experience working with Snowflake Experience with Elastic Stack technologies Proven experience designing, building, and maintaining large-scale data pipelines Strong analytical thinking and problem-solving skills Ability to work independently in a high-autonomy engineering environment Experience driving technical initiatives from idea through implementation Strong communication and collaboration skills Upper-Intermediate English level or higher WILL BE A PLUS Experience with Airflow for workflow orchestration