Python Pyspark Developer with AWS

  • Wilmington, DE
  • Posted 9 days ago | Updated 9 days ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Python
Pyspark
Spark SQL
Spark APIs
Pytest
PyUnit
Django
Flask
AWS
CI/CD

Job Details

Job Title: Python Pyspark Developer with AWS

Location: Wilmington, DE

Position type: Long term Contract

Rate: DOE

Job Description:

Experience: 10+ Years

Hands on experience on Pyspark

Python/Pyspark: 70%

AWS: 30%

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

Skills Matrix:-

Total work experience in IT Industry: Years

Total work experience in USA: Years

Python programming language: Years

Pyspark: Years

Spark SQL

Spark APIs: Years

Python test framework tools like Pytest, PyUnit: Years

Knowledge of Python frameworks and libraries, such as Django or Flask: Years

AWS cloud platforms including services like S3, Databricks, and Data Lake Storage: Years

Experience with data pipeline tools such as Airflow, Kafka, and Jenkins: Years

(CI/CD) Pipelines and tools: Years

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