Senior Data Engineer

Experience: 8+ Years (Preferred)

Job Description

We are looking for an experienced Data Engineer with strong hands-on expertise in dbt, PySpark, Lakehouse Architecture, and Debugging to develop, optimize, and maintain scalable data pipelines.

Mandatory Skills

• Strong experience with dbt (Data Build Tool) for data transformation and modeling.

• Hands-on expertise in PySpark and distributed data processing.

• Experience with Lakehouse Architecture and modern data platforms.

• Excellent debugging, troubleshooting, and performance optimization skills.

• Strong SQL and Python programming skills.

• Experience developing and maintaining ETL/ELT data pipelines.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using dbt and PySpark.

• Implement and maintain Lakehouse-based data solutions.

• Debug complex data pipeline issues and optimize performance.

• Ensure data quality, reliability, and efficient data processing.

• Collaborate with data architects, analysts, and engineering teams.

Work Schedule: 100% Remote | 40 Hours per Week

Interested candidates: Please share your updated resume, current location, work authorization, availability, and expected hourly rate