[Hiring] Senior Iceberg Engineer @GlobalLogic

Role Description

We are seeking an expert Iceberg Engineer to design, optimize, and scale our next-generation multi-cloud data lakehouse architecture across AWS and Azure. The ideal candidate is a backend/system engineer with strong experience building engines, infrastructure, or high-performance backend components. In this role, you will leverage Client's Open Lakehouse (integrated with Client's Talend Cloud) to establish a low-overhead, high-throughput data foundation. You will manage automated data ingestion, implement continuous table optimization, handle cross-cloud data mirroring, and ensure seamless multi-engine access without vendor lock-in.

Qualifications

• Extensive software development experience, including experience working on complex backend or data infrastructure projects.
• Strong hands-on experience with Apache Iceberg.
• Experience with Scala.
• Hands-on experience developing backend services, data-processing engines, infrastructure components.
• Programming experience in C /or C++ is highly desirable / preferred.
• Deep understanding of distributed systems, data processing, storage engines, or data infrastructure.
• Strong knowledge of data consistency, transactions, schema evolution, partitioning, compaction, and performance optimization.
• Proven ability to troubleshoot complex production and customer issues.
• Strong ownership mindset and the ability to operate effectively in areas with limited documentation or historical knowledge.
• Excellent communication and collaboration skills.

Requirements

• Big Data Frameworks: Hands-on experience with distributed data-processing technologies such as Apache Spark, Flink, Trino, or Presto.
• Cloud Object Storage: Experience working with cloud storage platforms, including Amazon S3, Google Cloud Storage (GCS), or Azure Data Lake Storage (ADLS).
• Legacy Modernization: Proven track record of modernizing or gradually improving a mature codebase without disrupting existing customers.

Job Responsibilities

• Architect & Build: Lead the architecture, design, and implementation of highly scalable, complex backend systems and robust data infrastructure using Iceberg.
• Data Lake Engineering: Design and manage enterprise-grade data lake solutions leveraging Apache Iceberg or equivalent table formats.
• Performance Optimization: Maximize system throughput, minimize latency, and optimize resource utilization across large-scale distributed data processing systems.
• Production Excellence: Systematically diagnose, troubleshoot, and resolve complex, high-impact production and customer-facing infrastructure issues.
• Codebase Modernization: Champion the gradual improvement and modernization of a mature, production-critical codebase.
• Technical Leadership & Collaboration: Act as a technical authority, fostering strong communication and collaboration across engineering teams.
• Navigate Ambiguity: Exercise a strong ownership mindset to operate effectively and deliver high-quality outcomes in areas with limited documentation or historical knowledge.

Benefits

• Empowering Projects: Contribute to groundbreaking projects that leverage cutting-edge technologies with 500+ clients across diverse industries.
• Empowering Growth: Foster a culture of continuous learning and professional development with support from a dedicated Learning & Development team.
• DE&I Matters: Commitment to diversity and equal opportunities for all individuals in an inclusive work environment.
• Career Development: Emphasis on career development with abundant opportunities for growth and regular team interactions.
• Comprehensive Benefits: A benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: Prioritize work-life balance with flexible opportunities tailored to your lifestyle.