Job Title - Data Engineer with Microsoft Dataverse & Azure Databricks
Experience Required - 7+ Years
Timezone - 6:30 AM to 2:30 PM IST (Singapore - 9 am to 5 pm)
Budget - 1.10 - 1.20 LPM
Work Mode - Remote

Detailed Job Descriptions

Looking for an independent, senior-level Data Engineer with a robust background in database design. Your primary focus will be designing database structures across platforms, with a heavy emphasis on Microsoft Dataverse and its integration with Azure Databricks.

Key Responsibilities

Database Design: Lead the design, modelling, and structuring of databases across platforms.
Dataverse Expert: Own the architecture, security, and setup within Microsoft Dataverse.
Databricks Integration: Build and optimise seamless connections and data pipelines between Azure Databricks and Dataverse.
Independent Delivery: Take complete ownership of projects from concept to deployment with minimal supervision.

Requirements

- Strong, proven background in enterprise database design.
- Deep, hands-on expertise in Microsoft Dataverse.
- Solid experience working with Azure Databricks.
- Proven experience successfully linking/integrating Databricks with Dataverse.
- Prior experience working within the FMCG or Retail domain.





While sharing the profile of your resource, share the details below, too

S. No.

Technology / Skill

Candidate Experience (In Years)

Self Rating (1-10)

1

Overall Years of Experience

2

Relevant Experience

3

Enterprise Database Design

/10

4

Database Architecture & Modelling

/10

5

Microsoft Dataverse

/10

6

Dataverse Architecture

/10

7

Dataverse Security & Access Model

/10

8

Azure Databricks

/10

9

Databricks Dataverse Integration

/10

10

Data Pipelines / ETL / ELT

/10

11

Azure Data Integration / Connectivity

/10

12

Data Modelling & Data Transformation

/10

13

Database Performance Optimisation

/10

14

Data Security & Governance

/10

15

End-to-End Data Engineering Delivery

/10

16

Independent Project Ownership

/10

17

FMCG / Retail Domain Experience

/10

18

Educational Qualification (Mention the course name with Passout Year )

19

Certifications (List all the certifications and share the soft copy or screenshots of certificates - if any )

20

Currently engaged in any project (If yes, when did last project completed )

📌 Data Engineer with Microsoft Dataverse & Azure Databricks (India)
🏢 Sparix Global
📍 India