Data Lake Engineer

TL;DR

Data Lake Engineer: Developing and optimizing scalable data lake architectures and systems with an accent on schema-on-read, data governance, and metadata management. Focus on contributing to open source projects and collaborating with engineering teams to deliver innovative data storage solutions.

What you will do

• Contribute actively to data lake and related open source projects.
• Develop and optimize data lake architectures for scalable data storage and processing.
• Implement schema-on-read solutions to enable flexible data access patterns.
• Build data governance frameworks to ensure data quality and compliance.
• Design and implement metadata management systems for data discovery and lineage.
• Collaborate with engineering teams on system integration and deployment.

Requirements

• 10+ years of experience in software development.
• Strong expertise in data lake architectures and large-scale data storage systems.
• Deep understanding of schema-on-read concepts and flexible data modeling.
• Proficiency in data governance frameworks and compliance management.
• Experience with metadata management and data cataloging systems.
• Core contributions to Apache open source projects (Iceberg, Delta Lake, Hudi, or similar).
• Advanced level of English.

Culture & Benefits

• Excellent compensation in USD or local currency if preferred.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaborate and learn from the global Top 1% of talent in each area.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.