Key Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines
• Develop data processing solutions using Python and advanced SQL
• Ensure data quality, reliability, and performance across platforms
• Support and maintain cloud-based data infrastructure (AWS, Azure, or GCP)
• Create and maintain data models and analytics-ready schemas
• Troubleshoot and resolve complex data engineering challenges
• Collaborate with cross-functional teams to deliver data-driven solutions

Key Requirements

• Bachelor's degree in Computer Science, IT, Engineering, or related field
• 2–4 years' experience in a Data Engineering or similar role
• Strong proficiency in Python and advanced SQL
• Hands-on experience with ETL/ELT pipeline development
• Experience with tools such as Apache Airflow, Talend, or similar
• Exposure to Big Data technologies such as...