Job Summary :

We are seeking an experienced Cloud Data Engineer with 7+ years of experience in designing, developing, and maintaining cloud-based data solutions. The ideal candidate should have expertise in Azure Data Platform, Azure Data Factory (ADF), Microsoft Fabric, SQL Server, Azure SQL Managed Instance, Data Warehousing, ETL/ELT, Power BI, and SAP Finance Data Integration. The candidate will play a key role in building scalable, secure, and high-performing cloud data platforms that support enterprise analytics and business intelligence.

Key Responsibilities :

- Design and develop cloud-based data solutions on the Azure platform.

- Build and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).

- Design enterprise data architecture and cloud data models.

- Develop and optimize relational databases using SQL Server and Azure SQL Managed Instance.

- Design and implement enterprise data warehouses using Star Schema and Snowflake Schema.

- Integrate data from multiple sources using REST APIs, GraphQL APIs, and ODBC/JDBC connectivity.

- Develop and maintain cloud-based data lakes and enterprise reporting platforms.

- Implement Microsoft Fabric solutions for modern data engineering and analytics.

- Design Power BI data models and support enterprise reporting and dashboard solutions.

- Perform Master Data Management (MDM) and enterprise data consolidation.

- Implement data governance, metadata management, data quality, and end-to-end data lineage.

- Optimize cloud data platform performance, scalability, and cost efficiency.

- Implement cloud security best practices using Azure AD, RBAC, and Managed Identity.

- Integrate SAP Finance data into cloud-based analytics platforms.

- Collaborate with architects, business analysts, developers, and business stakeholders to deliver high-quality data solutions.

- Troubleshoot and resolve production issues while ensuring platform reliability and availability.

Required Technical Skills :

1. Cloud & Azure :

- Microsoft Azure

- Azure Data Factory (ADF)

- Azure SQL Managed Instance

- Azure Storage

- Microsoft Fabric

- Azure Active Directory (Azure AD)

- Managed Identity

- RBAC (Role-Based Access Control)

2. Data Engineering :

- Cloud Data Engineering

- ETL/ELT Pipeline Development

- Data Integration

- Data Architecture

- Enterprise Data Modeling

- Data Warehousing

- Data Lake Architecture

- Data Migration

3. Database :

- SQL Server

- Azure SQL MI

- Query Optimization

- Performance Tuning

- Database Design

4. Data Warehousing :

- Star Schema

- Snowflake Schema

- Dimensional Modeling

5. Integration :

- REST APIs

- GraphQL APIs

- ODBC/JDBC

- SAP Finance Data Integration

6. Reporting & Analytics :

- Power BI

- Data Modeling

- Enterprise Reporting

- Dashboard Development

7. Governance & Security :

- Data Governance

- Data Quality

- Metadata Management

- Data Lineage

- Cloud Security

- Compliance

Preferred Skills :

- Experience with large-scale enterprise cloud data platforms.

- Strong understanding of cloud-native architecture and modern data engineering practices.

- Experience with Agile/Scrum methodologies.

- Strong analytical, troubleshooting, and problem-solving skills.

- Excellent communication and stakeholder management skills.