Data Engineer

Responsibilities

• Design, develop, and maintain scalable ETL pipelines.
• Extract, transform, and load data from multiple data sources.
• Optimize SQL queries and improve data processing performance.
• Collaborate with Data Analysts and stakeholders to support reporting needs.
• Ensure data quality, integrity, and reliability.
• Document data pipelines and engineering processes.
  
  

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
• 2–3 years of professional experience as a Data Engineer or similar role.
• Hands-on experience with ETL processes and data pipeline development.
• Strong programming skills in Python.
• Solid experience with SQL and relational databases.
• Experience on tools IDMC, ETL, SQL,.ksh, AWS, Cloud, Glue, C360, SQL.
• Understanding of data warehousing concepts and data modeling.
• Ability to work with structured and semi-structured data.