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Job Description
Roles and Responsibilities :
- Design, develop, test, deploy and maintain large-scale data pipelines using PySpark on AWS.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business needs.
- Develop complex SQL queries to extract insights from massive datasets stored in Data Bricks.
- Troubleshoot issues related to data processing, ETL processes, and database performance.
Job Requirements :
- 10-15 years of experience in designing and developing big data solutions using Python (PySpark) on AWS.
- Strong expertise in working with Spark, SQL, and Data Bricks for large-scale data processing.
- Experience with cloud-based technologies such as AWS for deploying scalable applications.
Skills
SparkPythonBricksSQLAWSPysparkDataData BricksBig DataPythonEtlData ProcessingSqlData EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Cotiviti focuses on improving the financial and quality performance of our clients. In healthcare, this means taking in billions of clinical and financial data points, analyzing them, and then helping our clients discover ways they can improve efficiency and quality. In addition, Cotiviti supports the retail industry with audit and recovery services in order to increase efficiency and maximize profitability.
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