Data Enginner

Data Engineer (3–4 Years Experience)

About the Role

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.

Key Responsibilities

• 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.
  
  

Required Skills

• 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
  
  

Preferred Skills

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

Qualifications

• 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.
  
  

What We're Looking For

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