Data Engineer Python, PySpark, SQL, Snowflake & API Integration
Posted:
28 October 2026 (Yesterday)
Application Deadline:
25 January 2027
Vacancies:
1 Vacancy
Job Summary
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.
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Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Contract