Data Enginner

We are looking for a Data Engineer with 3–4 years of experience in building scalable data pipelines and ETL/ELT workflows. The ideal candidate should have strong Python and SQL skills, experience integrating data from multiple sources, and a passion for delivering high-quality, reliable data solutions.

• Build and maintain scalable ETL/ELT pipelines.
  
• Develop data ingestion, transformation, and validation workflows.
  
• Optimize SQL queries and database performance.
  
• Monitor and troubleshoot data pipelines.
  
• Collaborate with cross-functional teams to deliver data solutions.
  
• Ensure data quality, governance, and documentation.
  

• Python, SQL, Pandas, NumPy
  
• ETL/ELT, Data Modeling, Data Validation
  
• PostgreSQL, MySQL (MongoDB/Firestore is a plus)
  
• REST APIs, JSON/XML
  
• Git, Docker, CI/CD
  
• AWS, Microsoft Fabric
  

• Snowflake or other data warehouses
  
• Distributed data processing
  
• Data governance and monitoring tools
  

• Bachelor's degree in Computer Science, IT, or related field.
  
• 3–4 years of experience in Data Engineering.
  
• Strong analytical, problem-solving, and communication skills.
  

A proactive engineer who can build scalable data solutions, ensure data quality, and work effectively with cross-functional teams.