Big Data Developer
13 hours ago
We are seeking a seasoned Senior PySpark Developer to lead our team in developing efficient data pipelines for healthcare applications. As a key member of our data engineering team, you will work with large-scale data processing frameworks, leveraging Apache Spark with Python (PySpark) to process and transform vast healthcare datasets.
Key Responsibilities:
- Develop and maintain ETL pipelines using PySpark to handle large-scale healthcare data.
- Design and optimize data workflows with Apache Spark to ensure scalability, performance, and reliability.
- Collaborate closely with cross-functional teams to design and implement data models supporting advanced analytics and machine learning applications.
Requirements:
- 5+ years of experience in data engineering with at least 3 years of PySpark experience.
- Strong expertise in Apache Spark with Python and experience with distributed data processing systems.
- Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred.
Our ideal candidate will have excellent problem-solving skills, strong communication abilities, and the capacity to explain complex technical concepts to non-technical stakeholders. We offer a competitive salary range of $120,000 - $180,000 per year, depending on location and experience, along with opportunities for professional growth and development within a dynamic team environment.
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