Data Engineer
Recrobhopal, madhya pradesh, in30+ days ago
Job descriptionData Engineering & Azure Ecosystem : Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Blob Storage Azure Machine Learning, Azure DevOps, Azure Kubernetes Service (AKS) Agentic AI Enablement : Experience supporting GPT model fine-tuning, data preparation for LLMs, synthetic data generation Vector / Graph DBs (neo4j), Azure AI Search, LangChain data loaders Context engineering for agent memory and tool chaining Responsible AI principles, model explainability, data privacy controls Python, PySpark, SQL, Fast API (Pydantic, REST APIs) ETL / ELT workflows, data modeling, schema design, feature engineering Containerization using Docker / Kubernetes, and CI / CD automation Microsoft Certified : Azure Data Engineer Associate (DP-203) Microsoft Certified : Azure AI Engineer Associate (AI-102) SnowPro Data Engineer or other relevant specialization in Data Engineering, Generative AI, or Agentic AI frameworks Data Pipeline Engineering : Design, build, and maintain ingestion, transformation, and storage pipelines using Azure Data Factory, Synapse Analytics, and Data Lake. AI Data Enablement : Collaborate with AI Consultants to prepare and manage datasets for supervised, unsupervised, and synthetic learning workflows. POC Support : Implement optimized data pipelines for Agentic AI POCs using realistic or synthetic data sources. API & Microservices Development : Build RESTful APIs and Fast API-based microservices for data access and model interaction within Azure-hosted environments. Model Deployment Support : Enable end-to-end deployment of AI models using Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure DevOps. Data Governance & Compliance : Ensure data quality, lineage, and compliance with responsible AI and enterprise data standards. Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Blob Storage Azure Machine Learning, Azure DevOps, Azure Kubernetes Service (AKS) Agentic AI Enablement : Experience supporting GPT model fine-tuning, data preparation for LLMs, synthetic data generation Vector / Graph DBs (neo4j), Azure AI Search, LangChain data loaders Context engineering for agent memory and tool chaining Responsible AI principles, model explainability, data privacy controls Programming & Micro Services Architecture : Strong skills in Python, PySpark, SQL, Fast API (Pydantic, REST APIs) ETL / ELT workflows, data modeling, schema design, feature engineering Containerization using Docker / Kubernetes, and CI / CD automation Ability to collaborate effectively with AI Consultants, Architects, and Business Analysts Strong communication skills to explain data engineering concepts to non- technical stakeholders & ability to transfer industry knowledge to peers Microsoft Certified : Azure Data Engineer Associate (DP-203) Microsoft Certified : Azure AI Engineer Associate (AI-102) SnowPro Data Engineer or other relevant specialization in Data Engineering, Generative AI, or Agentic AI frameworks
Key Responsibilities include :
- Data Pipeline Engineering : Design, build, and maintain ingestion, transformation, and storage pipelines using Azure Data Factory, Synapse Analytics, and Data Lake.
- AI Data Enablement : Collaborate with AI Consultants to prepare and manage datasets for supervised, unsupervised, and synthetic learning workflows.
- POC Support : Implement optimized data pipelines for Agentic AI POCs using realistic or synthetic data sources.
- API & Microservices Development : Build RESTful APIs and Fast API-based microservices for data access and model interaction within Azure-hosted environments.
- Model Deployment Support : Enable end-to-end deployment of AI models using
- Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure DevOps.
- Data Governance & Compliance : Ensure data quality, lineage, and compliance with responsible AI and enterprise data standards.
Skills & Experience Required :
Minimum YoE : 5 Years
Programming & Micro Services Architecture : Strong skills in
Soft Skills
Ability to collaborate effectively with AI Consultants, Architects, and Business Analysts
Strong communication skills to explain data engineering concepts to non- technical stakeholders & ability to transfer industry knowledge to peers
Preferred Certifications
Skills & Experience Required :
Minimum YoE : 5 Years
Data Engineering & Azure Ecosystem :
Soft Skills
Preferred Certifications
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Data Engineer • bhopal, madhya pradesh, in