Position Overview

We are looking for an experienced Azure Data Engineer with robust hands-on expertise in Azure Data Factory (ADF), Azure Databricks (ADB), DBT, Snowflake, and SQL databases. The ideal candidate should have experience working in production environments, strong scenario-based problem-solving skills, and the ability to collaborate effectively with both technical and business stakeholders.

Experience in the Wealth Management domain will be an added advantage.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and data engineering solutions on the Azure platform.
- Develop and manage ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB).
- Implement data transformation workflows using DBT.
- Work with Snowflake for data storage, transformation, and analytical workloads.
- Apply Medallion Architecture principles (Bronze, Silver, and Gold layers) for organizing, processing, and serving data.
- Design and implement robust data pipelines following appropriate data-layering, transformation, and data-quality practices.
- Develop and optimize complex SQL queries, stored procedures, and data-processing solutions using SQL Server and PostgreSQL.
- Work with Azure Logic Apps for workflow orchestration and system integrations.
- Troubleshoot data pipelines, production issues, and performance-related problems.




- Participate in production support activities, including incident analysis, root-cause analysis, and issue resolution.
- Understand business and technical scenarios and translate requirements into effective data engineering solutions.
- Collaborate with business analysts, data architects, developers, and other stakeholders.
- Use modern development tools such as VS Code and GitHub Copilot to improve development productivity.
- Follow coding, deployment, monitoring, data-quality, and data engineering best practices.

Experience & Qualifications

- 3+ years of relevant experience in Data Engineering.
- Strong hands-on experience with Azure data services and cloud-based data engineering.
- Strong understanding and practical experience with Medallion Architecture, including Bronze, Silver, and Gold data layers.
- Proven experience developing and supporting production-grade data pipelines.
- Strong SQL development and database concepts, particularly with SQL Server and PostgreSQL.
- Experience with DBT and Snowflake in modern data engineering environments.
- Good understanding of data integration, ETL/ELT, data transformation, orchestration, and troubleshooting.
- Strong ability to understand real-world business scenarios and translate them into technical solutions.

📌 Senior Software Engineer (New Delhi)
🏢 Incedo
📍 New Delhi