Roles and Responsibilities

• Design, develop, and maintain large-scale data pipelines using Python and SQL.
  
• Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
  
• Develop scalable and efficient ETL processes to extract, transform, and load data from various sources into a centralized repository.
  
• Ensure data quality by implementing robust validation checks on incoming data streams.
  
• Troubleshoot issues related to data processing workflows and resolve them promptly.
  

Desired Candidate Profile

• 3-6 years of experience in Data Engineering with expertise in Python programming language.
  
• Strong understanding of SQL database management systems (e.g., PostgreSQL) for querying large datasets.
  
• Experience working with cloud-based technologies such as AWS or GCP for deploying big data applications.
  
• Proficiency in designing complex data architectures using relational databases like MySQL or NoSQL databases like MongoDB.