- 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.
- Robust 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.
📌 Principal Data Engineer (Hyderabad)
🏢 Cotiviti
📍 Hyderabad
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