Description

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

Education

Bachelor's or Master's degrees