MResult
Tech Lead - Data Engineer (Azure)
- Compensation
- Not disclosed
- Location
- Bangalore; Mangalore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of data engineering experience.
- 5+ years of experience with Microsoft Azure Data Platform technologies.
- 3+ years of hands-on experience with Microsoft Fabric.
- Experience integrating Dynamics 365 and Salesforce environments.
- Experience working with large-scale enterprise datasets (> 100M records preferred).
Full description
We're hiring a Tech Lead - Data Engineer (Azure) on Microsoft Fabric, based in Bangalore and Mangalore.
Responsibilities:
- Design and implement scalable data platforms using Microsoft Fabric.
- Develop and maintain Data Factory pipelines, Dataflows Gen2 Notebooks, and Lakehouse solutions.
- Create and optimize Medallion Architecture (bronze, silver, and gold) data models.
- Develop and manage real-time analytics and event streaming solutions.
- Implement data governance, security, monitoring, and performance optimization within Fabric.
- Support Customer Insights implementation and customer profile analytics.
- Design and implement Salesforce Sales Cloud and Data Cloud integrations with Microsoft Fabric.
- Develop scalable ingestion frameworks for Salesforce objects and metadata.
- Create unified customer profiles by consolidating Salesforce, Dynamics 365 and external data sources.
- Develop AI-enabled data solutions using Microsoft Fabric AI capabilities, Copilot, Azure OpenAI, and Microsoft AI Services.
- Build AI-driven customer insights, predictive analytics, propensity models, and recommendations.
Requirements:
- 8+ years of data engineering experience.
- 5+ years of experience with Microsoft Azure Data Platform technologies.
- 3+ years of hands-on experience with Microsoft Fabric.
- Experience integrating Dynamics 365 and Salesforce environments.
- Experience working with large-scale enterprise datasets (> 100M records preferred).