Salesforce Senior Technical Architect enabling Data 360 customer transformations. Designing data integrations, advising customers, and expanding Salesforce Professional Services engagements.
About the role
- Data Engineer building scalable Python, PySpark, SQL, and Snowflake pipelines. Integrating REST APIs and external data into cloud-based data platforms.
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
Requirements
- 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
Benefits
- Remote work permitted
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