Awign Expert
11 months ago
Data Engineer (Python GenAI)
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Company information
- Company
- Awign Expert
- Location
- India, Karnataka, Bangalore, Cahmrajendrapet India
- Posted
- 11 months ago
Job description
Job Description — Data Engineer (Python + GenAI)
Location: Bangalore / Chennai / Hyderabad / Pune
Experience: 8+ Years
Primary Skills: Python, Data Engineering, Azure, GenAI/Agentic Systems
About the Role
We are looking for an experienced Data Engineer with strong expertise in Python and hands-on exposure to GenAI/agentic workflows. The ideal candidate will design, build, and optimize data pipelines on Azure, supporting AI-driven use cases and scalable data products.
Responsibilities
Build and maintain scalable data pipelines using Python and Azure data services.
Work with Azure components such as Azure Data Factory, Databricks, Azure Storage, Azure Functions, Synapse.
Support and enhance GenAI/agentic workflows, including data prep, orchestration, and integration.
Develop clean, reusable code for ETL/ELT workflows.
Collaborate with data science and AI teams to operationalize models.
Optimize data processes for reliability, performance, and cost.
Requirements
8+ years of experience in data engineering.
Strong programming skills in Python.
Hands-on experience with Azure data ecosystem.
Exposure to GenAI, LLMs, agentic frameworks, or AI-driven pipelines.
Solid understanding of ETL/ELT, data modeling, and distributed processing.
Experience with CI/CD workflows.
Location: Bangalore / Chennai / Hyderabad / Pune
Experience: 8+ Years
Primary Skills: Python, Data Engineering, Azure, GenAI/Agentic Systems
About the Role
We are looking for an experienced Data Engineer with strong expertise in Python and hands-on exposure to GenAI/agentic workflows. The ideal candidate will design, build, and optimize data pipelines on Azure, supporting AI-driven use cases and scalable data products.
Responsibilities
Build and maintain scalable data pipelines using Python and Azure data services.
Work with Azure components such as Azure Data Factory, Databricks, Azure Storage, Azure Functions, Synapse.
Support and enhance GenAI/agentic workflows, including data prep, orchestration, and integration.
Develop clean, reusable code for ETL/ELT workflows.
Collaborate with data science and AI teams to operationalize models.
Optimize data processes for reliability, performance, and cost.
Requirements
8+ years of experience in data engineering.
Strong programming skills in Python.
Hands-on experience with Azure data ecosystem.
Exposure to GenAI, LLMs, agentic frameworks, or AI-driven pipelines.
Solid understanding of ETL/ELT, data modeling, and distributed processing.
Experience with CI/CD workflows.
Required skills
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