
Senior Azure Data Engineer (MS Dynamics) (RARR Job 5376)
For Digital Engineering And Cloud Transformation Company
6 - 10 Years
Full Time
Immediate
Up to 30 LPA
1 Position(s)
Mumbai, Pune
Posted By : Rarr Technologies Pvt Ltd
Posted 19 Days Ago
Job Skills
Job Description
Key Responsibilities:
- Lead and execute data migration activities to Microsoft Dynamics 365 F&O.
- Design and implement ETL pipelines for extracting, transforming, and loading data using Azure Data Factory, Synapse, or equivalent tools.
- Collaborate with functional and technical teams to understand source systems and mapping requirements.
- Ensure data quality and validation during migration cycles (mock loads, testing, cutovers).
- Develop and maintain data integration solutions between Dynamics 365 and external systems.
- Manage data-related issues, troubleshooting errors, and providing resolution during and post-migration.
- Document migration processes, data mappings, and integration architecture.
Required Skills & Experience:
- Proven experience with Microsoft Dynamics 365 Finance & Operations (F&O), particularly in data migration and data entities for at least 2+ projects.
- Strong experience in Azure Data Engineering, including tools such as:
- Azure Data Factory
- Azure SQL / Synapse Analytics
- Azure Blob Storage
- Azure DevOps
- Power Apps and Power Automate
- Solid understanding of ETL processes, data transformation logic, and performance optimization.
- Familiarity with Data Management Framework (DMF) in Dynamics 365.
- Experience working with source systems like legacy ERPs, Yardi, SAP, or MRI is a plus.
- Excellent problem-solving skills and ability to work in a collaborative environment.
- Lead the team by giving the required technical and functional knowledge
- Demonstrate Customer Focus, active listening and consultative approach
- Coach, mentor, motivate and supervise team members.
Preferred Qualifications:
- Microsoft certifications in Azure Data Engineering and/or Dynamics 365 F&O.
- Experience in Agile project delivery and familiarity with DevOps pipelines.
- Strong communication and documentation skills.
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