Python Developer with API - W2

    • eTek IT Services, Inc.
  • Hicksville, NY
  • Posted 3 days ago | Updated 9 hours ago

Overview

On Site
Full Time

Skills

API
Google Cloud
Algorithms
Cloud storage
Data flow
Cloud computing
Analytics
Python
Extract
transform
load
Data Analysis
Data processing
Workflow
Distributed computing
Optimization
Data integrity
Scalability
Google Cloud Platform
Good Clinical Practice

Job Details

Job Description

Job Description
Role : Python Developer with API
Location: Hicksville, NY
Experience : 7+ years

W2 Contract
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Required Skills: python API 5+ years of experience cloud experience
Job Description&
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Develop and architect the complex data-oriented application in GCP: Utilize your Python expertise to design, develop, and architect a complex data-oriented application in the Google Cloud Platform (GCP) environment. Work closely with stakeholders to understand their requirements and design data models, algorithms, and data processing workflows that leverage GCP services such as BigQuery, Cloud Storage, and Dataflow. Implement best practices for cloud-native development, scalability, and security in the application's design and implementation.
Implement and optimize data processing and analytics pipelines: Implement robust data processing and analytics pipelines within the GCP ecosystem. Utilize Python libraries and GCP services to extract, transform, and load (ETL) data from various sources, perform data transformations, and enable efficient data analysis and insights generation. Optimize data processing workflows to ensure high performance and scalability, leveraging GCP's distributed computing capabilities and serverless architectures.
Provide ongoing support and optimization for the application in GCP: Serve as a technical resource for the data-oriented application built in GCP, providing ongoing support and optimization. Monitor and troubleshoot the application's performance, identify and resolve technical issues, and ensure data integrity and security. Continuously optimize the application's performance and scalability by leveraging GCP's services and features, and implement proactive measures such as automated scaling and monitoring to ensure smooth operation.
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