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Data Engineer, Python Pyspark, Wilmington DE (Onsite)

Salary undisclosed

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Hi

Position: Python Pyspark
Location: Wilmington DE (Onsite)
Duration: 12+ Months Contract

Python/Pyspark: 70%
AWS: 30%

Min 10+ Years

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
With Regards,

Chanakya Bhadrachalam

Sr. IT Recruiter

EmaiL:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Hi

Position: Python Pyspark
Location: Wilmington DE (Onsite)
Duration: 12+ Months Contract

Python/Pyspark: 70%
AWS: 30%

Min 10+ Years

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
With Regards,

Chanakya Bhadrachalam

Sr. IT Recruiter

EmaiL:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job