Senior Big Data Engineer

• Design, develop, and maintain robust data pipelines and ETL processes using Python, SQL, and PySpark 
• Work with large-scale data storage on AWS (S3, DynamoDB, MongoDB) 
• Ensure high-quality, consistent, and reliable data flows between systems 
• Optimize performance, scalability, and cost efficiency of data solutions 
• Collaborate with backend developers and DevOps engineers to integrate and deploy data components 
• Implement monitoring, logging, and alerting for production data pipelines 
• Participate in architecture design, propose improvements, and mentor mid-level engineers. 

• 5+ years of experience in data engineering or backend development 
• Strong knowledge of Python and SQL 
• Hands-on experience with AWS (S3, Glue, Lambda, DynamoDB) 
• Practical knowledge of PySpark or other distributed processing frameworks 
• Experience with NoSQL databases (MongoDB or DynamoDB) 
• Good understanding of ETL principles, data modeling, and performance optimization 
• Understanding of data security and compliance in cloud environments 
• Fluent in English (Upper-Intermediate level or higher)

PERSONAL PROFILE

• Strong communication and collaboration skills in cross-functional environments 
• Proactive, accountable, and driven to deliver high-quality results