In this role, you will have the opportunity to:

- Partner with business stakeholders to design and deliver scalable data warehouse and analytics solutions

- Design, develop, and optimize data pipelines, orchestration workflows, and database objects across Azure SQL, Snowflake, and Microsoft Fabric environments

- Monitor, troubleshoot, and improve data pipeline reliability and performance in production environments

- Drive continuous improvement initiatives across data architecture, ETL/ELT processes, and development standards

- Maintain data models, technical documentation, and version control practices, ensuring alignment with enterprise standards

Essential requirements of the job include:

- 5+ years of experience designing and developing enterprise data warehouse and analytics solutions

- Robust hands-on experience building and optimizing ETL/ELT pipelines using Azure Data Factory and/or Microsoft Fabric

- Advanced experience working with cloud data platforms (e.g., Azure SQL Database, Snowflake,



Microsoft Fabric)

- Experience monitoring, troubleshooting, and optimizing production data pipelines and data warehouse performance

- Experience supporting analytics platforms and business users, including Power BI datasets or semantic models

It would be a plus if you also possess previous experience in:

- Experience working with Oracle ERP EBS data models and Salesforce.com data models

- Experience providing technical guidance to offshore or distributed development teams

No travel required; collaboration across global teams may require flexibility in working hours

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer (West Bengal)
🏢 Beckman Coulter
📍 West Bengal