Healthcare Analytics Specialist
3 weeks ago
At Infojini, we're seeking an experienced Pandas and PySpark expert to lead the development of efficient data processing pipelines for healthcare applications. You will work with large-scale data sets using Apache Spark and Python (PySpark) to build scalable ETL solutions that meet the demands of the healthcare industry.
Key Responsibilities:
- Develop and maintain ETL pipelines using PySpark and Pandas to handle large-scale healthcare data.
- Design and optimize data workflows with Apache Spark to ensure scalability, performance, and reliability.
- Collaborate closely with data engineers and data scientists to ensure data quality and compliance with healthcare standards.
Requirements:
- 5+ years of experience in data engineering with a focus on PySpark and Pandas.
- Strong expertise in distributed data processing systems and big data tools like Hadoop, Hive, and Presto.
- Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred.
This position offers a competitive salary range of $150,000 - $220,000 per year, depending on location and experience. We provide a comprehensive benefits package, including health insurance, retirement plans, and paid time off. Our team environment encourages collaboration, innovation, and continuous learning.
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