Data Engineer – PySpark & Databricks l 12 months contract

Key Responsibilities:

• Design, develop, and maintain data pipelines using PySpark on Databricks.
• Write clean, efficient, and reusable PySpark code for data ingestion, transformation, and processing.
• Conduct unit and integration testing of data workflows to ensure accuracy and performance.
• Collaborate with data scientists, analysts, and other engineers to support data-driven initiatives.
• Optimize data workflows for scalability and performance in cloud environments.
• Document technical solutions and maintain code repositories.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering, with excellent proficiency in PySpark.
• Hands-on experience with Databricks platform.
• Familiarity with data testing frameworks and best practices.
• Good understanding of ETL processes, data modeling, and performance tuning.

Interested Applicants, please email your resume to [email protected] (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.