TigerGraph Engineer

O projekcie: WE ARE SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work. Big Data & Analytics is the data consulting and engineering arm of our Center of Excellence. Hundreds of data engineers and architects build end-to-end data & analytics solutions: from strategy and architecture through technical design, proof of concept, and full-scale implementation. We work with clients across healthcare, finance, manufacturing, retail, and energy industries. We hold top-level partnerships with major cloud providers and collaborate with technology leaders such as AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. TOGETHER WE WILL - Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence - Support your technical and personal growth, as we have a dedicated career plan for all roles in our company - Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Data Community - Upskill with full access to Udemy learning courses - Pass professional certifications, encouraged and covered by the company - Adopt best practices from experts while working in a team of top-notch Engineers and Architects - Collaborate with world-leading companies and attend professional events SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe. Wymagania: IF YOU ARE - An experienced Data Engineer with 5+ years of hands-on practice in designing and building scalable data pipelines - Proficient in working with Graph Databases and understanding graph structures, relationships, and performance considerations - Skilled in Python/PySpark and SQL for data transformation, integration, and logic building - Comfortable with web scraping and working with diverse data sources - Confident in working across cross-functional teams - Effectively communicating at an upper-intermediate English level, or higher - Experienced or familiar with TigerGraph (preferably) or Neo4j, especially in the context of supply chain or complex relationship modeling (a strong plus) Codzienne zadania: - Be part of a project combining graph analytics, data engineering, and AI to deliver real business impact - Build and support a fraud investigation tool based on graph and network analysis - Model relationships between entities (e.g., devices, IPs) to uncover fraud signals and suspicious patterns - Implement and optimize graph-based data pipelines and analytics solutions - Work with TigerGraph algorithms to detect clusters, anomalies, and hidden connections - Contribute to an AI layer that explains detected fraud patterns in a clear and actionable way - Collaborate with analysts and stakeholders to improve fraud detection and investigation processes - Transform complex graph insights into clear outputs for end users and investigators