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

About this role

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.

All your information will be kept confidential according to EEO guidelines.
Originally posted on Himalayas