Senior Data Engineer (AI)

• Design and maintain scalable data pipelines using Python, SQL, Snowflake, and AWS.
  
• Build data ingestion, transformation, and analytics solutions for large-scale datasets.
  
• Work with product, business, and QA teams to deliver reliable data solutions.
  
• Improve data processing performance, reliability, and overall data quality.
  
• Use AI-native development practices and AI tools for coding, reviews, testing, documentation, and productivity.
  

Requirements

• Strong experience in Python development, particularly for ETL, data processing, and automation.
  
• Strong expertise in SQL and Snowflake is required, including data modeling and performance optimization.
  
• Hands-on experience with PySpark and Big Data technologies is required for building and processing large-scale data pipelines.
  
• Experience with AWS services such as S3, SNS, and Glue, along with cloud-based data engineering solutions.
  
• Experience building scalable data pipelines, integration frameworks, and AI-assisted development workflows is essential.
  

Benefits

• Work on international projects: Be part of a global team working with clients from across the world.
  
• Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events.
  
• Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development.
  
• Competitive Salary and Benefits