Data Engineer

Accountabilities:

• Build and maintain robust data ingestion pipelines from various sources into cloud data platforms.
• Develop and optimize data transformation workflows using dbt with structured bronze, silver, and gold layer modeling.
• Implement data quality checks, monitoring, and validation frameworks to maintain accuracy.

Requirements:

• 4+ years of professional experience designing and deploying production-grade data pipelines using Python.
• Strong expertise in SQL development, optimization, and performance tuning in cloud data environments.
• Hands-on experience with Snowflake, dbt Core, Airflow, and AWS services.

Benefits:

• Fully remote working opportunity across eligible locations with flexible working environment.
• Competitive salary package with performance-based incentives.
• Exposure to modern cloud technologies, data architecture patterns, and AI-powered engineering workflows.