Tech Lead Data Engineer

📋 Description

• Design, implement, and continuously evolve a petabyte-scale AWS data platform using advanced
• Build and optimize highly scalable data pipelines using JVM-based languages such as Java, Scala, or
• Ensure data processing solutions are efficient, resilient, production-ready, and capable of
• Act as a principal-level technical leader by mentoring engineers, conducting high-quality code
• Contribute to architectural and technical design decisions in partnership with architects, product
• Help define the long-term evolution of the data platform while ensuring technical decisions remain

🎯 Requirements

• Expert-level experience in software and data engineering, preferably within large-scale or highly
• Deep experience building petabyte-scale systems using Java-based languages such as Scala and Apache
• Strong expertise in the AWS data ecosystem, particularly services and technologies such as Glue
• Advanced understanding of distributed systems, parallel processing, and highly parallelized
• Strong knowledge of query optimization, data partitioning, and efficient data storage patterns.
• Extensive AWS cloud experience; knowledge of Azure or GCP is an advantage.

🎁 Benefits

• Opportunity to work on a petabyte-scale AWS data platform and complex distributed data systems.
• Exposure to advanced cloud-native technologies and modern data engineering practices.
• Opportunity to work with emerging technologies such as vector databases and AI/LLM-based solutions.
• Strong focus on technical development, engineering quality, mentorship, and knowledge sharing.
• Collaboration with multidisciplinary teams across product, engineering, architecture, and
• Opportunity to contribute to large-scale data-driven products and long-term platform evolution.