Skills : PySpark, including Spark SQL and other Spark APIs

Pyspark: 60%
AWS: 40%

JD:

Expert proficiency in Python programming language
Expert proficiency in PySpark, including Spark SQL and other Spark APIs
Testing and debugging applications with Python test framework tools like Pytest,PyUnit, etc
In-depth knowledge of Python frameworks and libraries, such as Django or Flask
Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage
Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools
Experience with data pipeline tools such as Airflow, Kafka, and Jenkins.
Design principles that are executable for a scalable app


Qualification:

A bachelor's degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
Strong knowledge of cloud concepts, architecture patterns, and best practices
Proven experience in designing, implementing, and maintaining AWS solutions
Effective communication and teamwork skills, including the ability to collaborate with cross-functional teams
Strong problem-solving and analytical abilities