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Job Description & How to Apply Below
Develop and maintain scalable data pipelines using Python and PySpark.
Collaborate with data engineers and data scientists to understand and fulfill data processing needs.
Optimize and troubleshoot existing PySpark applications for performance improvements.
Write clean, efficient, and well-documented code following best practices.
Participate in design and code reviews.
Develop and implement ETL processes to extract, transform, and load data.
Ensure data integrity and quality throughout the data lifecycle.
Stay current with the latest industry trends and technologies in big data and cloud computing.
Qualifications
Bachelors degree in Computer Science, Information Technology, or a related field.
Proven experience as a Python Developer with expertise in PySpark.
Strong understanding of big data technologies and frameworks.
Skills
Python
Py Spark
Big Data
Distributed Computing
ETL Processes
SQL
Data Engineering
Cloud Computing (AWS, GCP, or Azure)
Data Warehousing
Apache Spark
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