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

- Strong 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.

- Strong communication and stakeholder management skills.

📌 Azure Data Engineer (Noida)
🏢 Topcoder
📍 Noida