
Senior PySpark Developer
7 days ago
Job Overview
As a seasoned PySpark professional, you will be responsible for designing, developing, testing, deploying, and maintaining large-scale data processing pipelines. This role requires strong technical expertise in Spark's APIs, including Dataframe, Dataset, and Hive queries.
Key Responsibilities
- Design, develop, test, deploy, and maintain large-scale data processing pipelines using PySpark.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Develop high-quality code in Python using Spark's APIs (e.g., Dataframe, Dataset) and Hive queries.
- Troubleshoot complex issues related to data processing, query performance, and system errors.
Desired Candidate Profile
- 4-8 years of experience working with PySpark/Hive technologies.
What We Offer
- A dynamic work environment with opportunities for growth and development.
How to Apply
We are looking for talented individuals who can contribute to our team's success. If you have the skills and passion for this role, please submit your application.
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