We are seeking a skilled and proactive data engineering professional with solid experience in Azure resources, solution design, and architectural modeling. The ideal candidate will play a key role in designing scalable data solutions and should be open to working with Power BI when needed.

Key Responsibilities
Design and architect robust data engineering solutions using Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL).
Develop and optimize data pipelines, ETL/ELT processes, and data models for analytics and reporting.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Ensure data quality, governance, and security across all engineering workflows.
Support and enhance existing data infrastructure and troubleshoot performance issues.




Work with Power BI for data visualization and reporting as required.

Required Skills
Robust hands-on experience with Azure data services and cloud architecture.
Proven expertise in data engineering, including pipeline development and data modeling.
Solid understanding of solution design principles and architectural best practices.
Experience with SQL, Python, or other data-centric programming languages.
Familiarity with DevOps practices and CI/CD pipelines in a data engineering context.

Preferred Skills
Experience with Power BI (PBI) or willingness to learn and contribute to PBI-based reporting.
Knowledge of data governance frameworks and compliance standards.
Solid communication and stakeholder management skills.

📌 Azure Data Engineer Noida
🏢 Topcoder
📍 Noida