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Urgent! Data Engineer Job | Recro
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
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Anand, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Anand, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 616965 jobs in India and 4426 jobs in Anand. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Recro is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Jobs Anand.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Recro adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Anand. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at Recro, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Recro's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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