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Urgent! Data Engineer Job | Recro

Data Engineer



Job description

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
Data 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
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
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
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.
Skills & Experience Required:
Minimum YoE: 5 Years
Data 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
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
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
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


Required Skill Profession

Computer Occupations



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