Data Engineer - Python, PySpark, SQL, Snowflake & API Integration

Job Description:

We are seeking a skilled

Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions.

Key Responsibilities:

• Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
• Integrate REST APIs and external data sources into Snowflake-based data platforms.
• Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
• Develop efficient SQL queries and optimize Snowflake performance.
• Implement data quality, validation, monitoring, and automation.
• Collaborate with engineering and analytics teams to deliver reliable data solutions.

Required Qualifications:

• 3+ years of experience in Data Engineering.
• Strong hands-on expertise in

  Python, PySpark, SQL, and Snowflake

  .

• Experience with REST APIs, JSON, and API-based data integration.
• Knowledge of ETL/ELT processes, data modeling, and data warehousing.
• Experience with cloud platforms such as AWS, Azure, or GCP is preferred.