Azure Data Engineer (Standard)

Roles & Responsibilities

Key Responsibilities:

• Develop robust, scalable Python-based applications aligned with company requirements.
• Integrate and implement Generative AI models into business applications.
• Design, build, and maintain data pipelines and data engineering solutions on Azure.
• Collaborate closely with cross-functional teams (data scientists, product managers, data engineers, and cloud architects) to define, design, and deploy innovative AI and data solutions.
• Build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems.
• Continuously research and evaluate new AI and Azure data technologies and trends to enhance system capabilities.
• Participate actively in code reviews, troubleshooting, debugging, and documentation.
• Ensure high standards of code quality, performance, security, and reliability.
  
  

Required Skills

• Advanced proficiency in Python programming, including libraries and frameworks like Django, Flask, FastAPI.
• Experience in Generative AI technologies (e.g., GPT models, LangChain, Hugging Face).
• Solid expertise in Azure Data Engineering tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage.
• Familiarity with AI/ML libraries such as TensorFlow, PyTorch, or OpenAI API.
• Experience with RESTful APIs, microservices architecture, and web application development.
• Strong understanding of databases (SQL, NoSQL) and ETL processes.
• Good knowledge of containerization and orchestration technologies like Docker, Kubernetes.
• Strong problem-solving, analytical, and debugging skills.
  
  

Preferred Qualifications

• Bachelor's/master’s degree in computer science, Engineering, or related fields.
• Prior experience developing AI-enabled products or implementing AI into applications.
• Azure certifications (AZ-204, DP-203, AI-102) or equivalent.
• Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps.
  
  

Soft Skills

• Strong communication and teamwork skills.
• Ability to work independently and proactively.
• Passion for continuous learning and professional growth.
  
  

Location:

• Gurgaon, Noida, Pune, Bengaluru, Kochi
  
  

Experience

• 4.5-6 Years
  
  

Skills

• Primary Skill: Data Engineering
• Sub Skill(s): Data Engineering
• Additional Skill(s): Python, Azure Data Factory, Python-Django
  
  

About The Company

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.