Staff software Engineer

2 weeks ago

India Weekday AI Full time

This role is for one of the Weekday's clients

Min Experience: 9 years

Location: India

JobType: full-time

We are looking for an experienced Staff Software Engineer to play a critical role in designing, building, and scaling next-generation data lake and query processing platforms. This role is ideal for a hands-on technical leader who thrives in complex, distributed systems and enjoys solving large-scale data challenges. You will work closely with platform, infrastructure, and product teams to deliver high-performance, reliable, and scalable data systems that power analytics, real-time processing, and business intelligence across the organization.

As a Staff Engineer, you will influence architectural decisions, drive technical excellence, and mentor senior engineers while remaining deeply involved in coding and system design.

Key Responsibilities
  • Design, develop, and evolve large-scale data lake architectures supporting batch and real-time workloads.
  • Build and optimize query engines for high-throughput, low-latency analytics over massive datasets.
  • Lead the implementation and optimization of Apache Iceberg for table management, schema evolution, partitioning, and transactional consistency.
  • Design and maintain streaming and event-driven systems using Kafka, ensuring fault tolerance, scalability, and data reliability.
  • Develop high-performance backend services and data processing components using Java, Scala, and C++.
  • Drive architectural reviews and make data-driven decisions around storage formats, indexing strategies, and query execution plans.
  • Collaborate closely with data engineers, infrastructure teams, and product stakeholders to translate business needs into scalable technical solutions.
  • Ensure system reliability through robust testing, monitoring, and performance tuning.
  • Mentor and guide engineers across teams, setting best practices for coding, system design, and operational excellence.
  • Take ownership of complex technical problems and lead them from design through production deployment.
Required Skills & Qualifications
  • 9–13 years of experience in software engineering with a strong focus on distributed systems and data platforms.
  • Deep expertise in Data Lake technologies and large-scale data processing architectures.
  • Strong hands-on experience with Apache Iceberg, including table formats, metadata management, and performance optimization.
  • Solid understanding of query engines (distributed SQL engines, query planners, execution frameworks).
  • Extensive experience with Kafka and streaming data pipelines.
  • Excellent programming skills in Java and Scala; strong proficiency in C++ for performance-critical systems.
  • Strong knowledge of concurrency, memory management, and performance tuning in distributed environments.
  • Experience working with cloud-based or on-premise big data ecosystems.
Nice to Have
  • Experience with open-source contributions in data or query systems.
  • Exposure to other table formats or query engines (e.g., Hive, Presto, Trino, Spark).
  • Strong system design and technical leadership background.

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