Senior Data Engineer (AdTech unit)

• Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode 
• Collaborate closely with cross-functional stakeholders to gather requirements and deliver high-quality data solutions that align with business goals 
• Implement data transformation and integration processes using modern big data frameworks and cloud platforms 
• Build and maintain data models, data warehouses, and schema designs to support analytics and reporting needs 
• Ensure data quality, reliability, and performance by implementing robust testing, monitoring, and alerting practices 
• Contribute to architectural decisions for distributed data systems and help optimize performance for high-load environments 
• Ensure compliance with data security and governance standards 

• 4+ years of experience in data engineering, big data architecture, or related fields 
• Strong proficiency in Python and PySpark  
• Advanced knowledge of SQL (query optimization, complex joins, window functions) and experience with NoSQL databases 
• Solid understanding of distributed computing principles and hands-on experience with technologies such as Apache Spark, Kafka, Hadoop, Presto, or Databricks 
• Experience designing and managing data warehouses and data lake architectures in cloud environments (AWS, GCP, or Azure) 
• Familiarity with data modeling, schema design, and performance tuning for large datasets 
• Strong understanding of DevOps practices for automating deployment, monitoring, and scaling big data applications (e.g., CI/CD pipelines) 
• At least an Upper-Intermediate level of English 

PERSONAL PROFILE

• Excellent communication skills and the ability to work effectively in cross-cultural and cross-functional teams