Senior Data Engineer (Team Lead)

📋 Description

• Lead a team of data engineers; contribute to data pipelines design.
• Architect and optimize large-scale streaming and batch data solutions using Kafka, Spark, Hadoop.
• Manage deployment, monitoring, and optimization of data infrastructure for performance and scalability.
• Collaborate with product, analytics, and engineering to define data strategies.
• Coach engineers; promote best practices and collaboration.
• Establish data governance, security, and data quality practices.

🎯 Requirements

• 6+ years of professional experience in data engineering, including recent experience leading technical teams.
• Strong expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems.
• Hands-on experience designing and maintaining scalable data pipelines and distributed processing systems.
• Experience working with cloud data platforms, with BigQuery experience considered highly desirable.
• Proven success delivering complex data engineering solutions in large-scale environments.
• Strong debugging, troubleshooting, performance optimization, and analytical problem-solving skills.

🎁 Benefits

• Fully remote work opportunity.
• Competitive compensation package paid in foreign currency.
• Regular training and professional development opportunities.
• Opportunity to lead impactful data projects with modern technologies.
• Exposure to complex distributed systems and cloud data platforms.
• Collaborative environment with international teams and experienced professionals.