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Job Location

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Dallas - Australia

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2627340

Title : Python Developer

Work location: Dallas TX (Onsite)

Position Overview:

We are seeking a skilled Python Developer with expertise in data engineering machine learning and cloud technologies to join our team in Dallas TX. The ideal candidate will have a passion for solving complex problems a strong foundation in Python programming and experience working with distributed systems and big data technologies.

Responsibilities:

  • Develop and maintain Pythonbased applications for data engineering and machine learning purposes.
  • Collaborate with crossfunctional teams to design and implement scalable solutions for data processing and analysis.
  • Implement and optimize pyspark code for efficient distributed data processing.
  • Utilize NoSQL databases particularly MongoDB for data storage and retrieval in largescale applications.
  • Design and implement realtime streaming solutions for data ingestion and processing.
  • Deploy and manage applications in Kubernetes environments ensuring scalability reliability and performance.
  • Design build and deploy machine learning pipelines incorporating best practices for model training evaluation and deployment.
  • Utilize Delta Live Tables for managing data changes and versioning in data lake environments.
  • Work closely with DevOps teams to automate deployment processes using Azure DevOps and other CI/CD tools.
  • Stay updated on emerging technologies and industry trends in data engineering machine learning and cloud computing.

Requirements:

  • Bachelors degree in Computer Science Engineering or related field.
  • Strong proficiency in Python programming language and Pyspark Coding.
  • Experience with distributed data processing frameworks such as pyspark.
  • Handson experience with NoSQL databases particularly MongoDB.
  • Familiarity with realtime streaming technologies and frameworks.
  • Experience deploying and managing applications in Kubernetes environments.
  • Knowledge of containerization technologies such as Docker.
  • Experience designing and deploying machine learning pipelines.
  • Familiarity with cloud platforms such as Azure.
  • Excellent problemsolving skills and attention to detail.
  • Strong communication and collaboration skills.

Employment Type

Full Time

Company Industry

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