Senior Software Engineer

• Design and build scalable data platforms and pipelines to process large-scale datasets across distributed systems
• Develop data processing and analytics solutions to derive insights from complex and high-volume data
• Build and maintain batch and streaming pipelines using modern data technologies (e.g., Spark, Kafka)
• Design and implement graph-based data models, enabling efficient representation of relationships across entities
• Develop graph traversal and relationship analysis logic to support advanced querying and insights (e.g., multi-hop analysis, entity linking)
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
• Ensure data quality, reliability, and performance in production systems
• Drive end-to-end ownership from system design and implementation to deployment and monitoring

• 7+ years of experience in software engineering, data engineering, or related roles
• Strong fundamentals in data structures, distributed systems, and data modeling (including graph modeling concepts)
• Hands-on experience with big data technologies (e.g., Spark, Kafka, distributed storage systems)
• Proficiency in Python and SQL
• Experience building scalable batch and/or streaming pipelines
• Familiarity with graph processing frameworks or graph databases (e.g., GraphFrames, Neo4j, TigerGraph, NetworkX)
• Understanding of graph traversal techniques (e.g., BFS/DFS, multi-hop queries, relationship aggregation)
• Experience working with large datasets and optimizing performance (joins, partitioning, skew handling)
• Experience with cloud platforms (Azure/AWS/GCP) is a plus

Experience with cloud platforms (Azure/AWS/GCP) is a plus