Senior Data Engineer (Team Lead)

📋 Description

• Leading a data engineering team and contributing to advanced data pipelines.
• Architecting and optimizing large-scale streaming/batch data solutions (Kafka, Spark, Hadoop).
• Deploying, monitoring, and scaling data infrastructure for performance and reliability.
• Collaborating with product, analytics, and engineering teams to define data strategies.
• Coaching engineers and promoting engineering practices and collaboration.
• Establishing and enforcing data governance, security, and data quality standards.

🎯 Requirements

• 6+ years in data engineering, including leading technical teams.
• Strong expertise in Kafka, Spark, and Hadoop ecosystems.
• Hands-on design and maintenance of scalable data pipelines and distributed processing.
• Experience with cloud data platforms; BigQuery is highly desirable.
• Proven success delivering complex data engineering solutions in large-scale environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

🎁 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.