Senior Data Engineer (Team Lead)

📋 Description

• Lead a data engineering team and contribute to data pipelines design.
• Architect and optimize streaming and batch data solutions (Kafka, Spark, Hadoop).
• Manage deployment, monitoring, and optimization of data infrastructure for performance.
• Collaborate with product, analytics, and engineering teams to define data strategies.
• Mentor engineers and promote strong engineering practices.
• Establish and maintain data governance, security, and quality standards.

🎯 Requirements

• 6+ years of professional experience in data engineering, including 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 with cloud data platforms; BigQuery experience highly desirable.
• Proven success delivering complex data engineering solutions in large-scale environments.
• Excellent communication and leadership skills across technical and business teams.

🎁 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.