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Staff Software Engineer at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 9 years. Location: India. JobType: full-time. We are seeking a highly skilled . Staff Software Engineer. with deep expertise in building and optimizing . query engines. and working with . data lakes. at scale. The ideal candidate is passionate about designing high-performance, scalable, and reliable systems, with a strong background in . Java or Scala. . This role is critical for shaping the architecture of our data platform and enabling analytics and data-driven decision-making across the organization.. Key Responsibilities:. Design, develop, and maintain . query engines. capable of processing large-scale datasets efficiently. . Build and optimize data pipelines and integrations with . data lakes. to ensure high throughput and low latency. . Collaborate with cross-functional teams including Data Engineering, Data Science, and Product Engineering to deliver scalable and performant solutions. . Evaluate and implement new technologies, frameworks, and architectures to improve query performance, reliability, and maintainability. . Lead system design discussions, ensuring technical decisions align with long-term business goals. . Mentor and guide junior engineers, providing technical direction and best practices for software development and system design. . Troubleshoot, analyze, and resolve complex issues in distributed systems, ensuring high availability and fault tolerance. . Contribute to coding standards, architecture guidelines, and code reviews, promoting a culture of quality and innovation. . Required Skills & Qualifications:. . Experience:. 9–13 years of professional software engineering experience, preferably in data-intensive environments. . . Programming:. Proficient in . Java or Scala. , with a strong understanding of concurrent programming, memory management, and performance optimization. . . Query Engine Expertise:. Hands-on experience in building, tuning, or maintaining . query engines. (e.g., Presto, Spark SQL, Hive, or similar). . . Data Lakes & Big Data:. Solid experience working with . data lakes. and distributed storage systems (e.g., Hadoop, AWS S3, Azure Data Lake, GCP). . Strong understanding of . distributed systems, data modeling, and data processing frameworks. . . Proven ability to design scalable, fault-tolerant systems capable of handling petabyte-scale datasets. . Excellent problem-solving, debugging, and analytical skills, with a focus on performance optimization. . Experience mentoring and leading engineering teams, with a collaborative and proactive mindset. . Preferred Qualifications:. Familiarity with modern . ETL frameworks, stream processing, or batch processing architectures. . . Knowledge of cloud-based data services and infrastructure (AWS, Azure, GCP). . Open-source contribution or active participation in data engineering communities is a plus.. Company Location: India.