Azure Functions and Python Developer at IQVIA

Bengaluru, Karnataka, India

IQVIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, HealthcareIndustries

Requirements

  • Around 6 years of overall experience in software Development and Design
  • 2+ years experience as AWS Lambda and Azure Functions developer in serverless computing, specifically with AWS Lambda and Azure Functions using Python
  • Proficiency in Node.js (big plus)
  • Integrate serverless functions with other AWS or Azure services, such as API Gateway
  • Use Infrastructure as Code (IaC) tools to automate deployment and management of serverless infrastructure
  • Understanding of cloud architecture and security
  • Experience with DevOps practices, including CI/CD, automation, and infrastructure as code
  • Familiarity with tools for monitoring and logging serverless applications
  • Understanding of security best practices for cloud applications
  • Experience with various programming languages, cloud architectures, and integration with other AWS or Azure services
  • Strong working experience with Database technologies and SQL, including SQL Optimization
  • Ability to write clean code with experience in Unit Testing
  • Good Communication and Articulation skills

Responsibilities

  • Designs/develops software solutions requiring general domain knowledge and specialized business experience
  • Works at all layers of development with AWS Lambda and Azure Functions
  • Analyzes user requirements/needs and makes decisions within general parameters under regular supervision
  • Supports and often leads projects within own organization with limited complexity, including the development of medium size system components
  • Reviews complex functional specifications and other validation deliverables as assigned
  • Provides peer support and helps on-board new Software Engineers to the team
  • Developing solutions in Agile environment
  • Version management and deployment functions

Skills

Azure Functions
Python
AWS Lambda
SQL
Node.js
API Gateway
Infrastructure as Code
CI/CD
DevOps
Agile
serverless computing
cloud architecture
monitoring
logging
security best practices

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters
1998Year Founded
$3,526MTotal Funding
POST_IPO_EQUITYCompany Stage
Cybersecurity, Biotechnology, HealthcareIndustries
10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.
Proliferation of disparate technological solutions causes technology overload in clinical trials.
Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.
The company offers privacy-enhancing technologies to protect individual patient data.
IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.
AI-driven drug discovery accelerates identification of potential drug candidates.
Expansion of telemedicine facilitates remote patient monitoring and data collection.

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