Data Engineer

Key Responsibilities 
 

• Lead the design and development of scalable data solutions and pipelines. 
  
   
• Drive technical decisions, provide mentorship, and guide the team in complex problem spaces. 
  
   
• Collaborate with product managers and engineering leaders to refine business and technical requirements. 
  
   
• Write clean, maintainable, and efficient code using languages such as Python, Java, Scala, or Go. 
  
   
• Implement best practices for data validation, pipeline automation, and quality checks. 
  
   
• Work across multiple database systems including SQL and NoSQL platforms. 
  
   
• Stay updated with the latest tech trends; contribute to internal/external tech communities. 
  
   
• Occasionally contribute hands-on to development and code reviews as a tech leader. 
  
   

Required Skills: 
 

• Python coding – strong scripting and automation capabilities 
  
   
• SQL – advanced querying and database optimization skills 
  
   
• AWS Cloud – experience with core services (e.g., EC2, S3, Lambda) 
  
   
• Redshift – hands-on data warehousing and performance tuning 
  
   
• Snowflake – experience in data lake/warehouse architectures 
  
   
• Experience with data streaming platforms and real-time processing. 
  
   
• Strong knowledge of data modeling, data lake architectures, and ETL/ELT tools. 
  
   
• Experience working with Snowflake, Redshift, and large-scale data warehouse environments. 
  
   
• Hands-on experience with cloud services (preferably AWS; GCP or Azure also considered). 
   
• Familiarity with CI/CD processes, DevOps tools, and version control systems (e.g., Git)