DATA ENGINEER PYSPARK AND SQL

Job requirements

Data Engineer – PySpark & SQL

Location

San Francisco Office

Work Model

Onsite 3 days per week – Mandatory

Role Overview Looking for a Data Engineer with strong experience in distributed data processing, data transformation, and building data pipelines using PySpark and SQL.

Mandatory Skills

• Strong PySpark experience
• Strong SQL skills
• Hands-on Data Engineering experience
• Experience building data processing and transformation pipelines
• Strong understanding of databases, data structures, and data quality
• Ability to work onsite at the San Francisco office 3 days per week

Nice-to-Have Skills

• Strong Python development
• Cloud data platforms
• ETL/ELT pipelines
• Data warehousing / lakehouse technologies
• Distributed data processing
• AI/ML data pipelines