Posted on: 30/09/2026
Summary :
We are seeking an experienced Data Developer with expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and strong SQL development skills. The ideal candidate will work on end-to-end data solutions supporting analytics initiatives across domains in the Life Sciences industry.
Responsibilities :
- Design, develop, and maintain scalable and secure data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Azure Databricks.
- Develop curated datasets for clinical, regulatory, and commercial analytics using SQL and PySpark.
- Create and support dashboards and reports using Power BI.
- Collaborate with cross-functional stakeholders to understand data needs and translate them into technical solutions.
- Work closely with ERP teams such as Salesforce.com and SAP to integrate and transform business-critical data into analytic-ready formats.
- Partner with Data Scientists to enable advanced analytics and machine learning initiatives.
- Use Azure DevOps to manage code repositories, track tasks, and support agile delivery processes.
- Monitor, troubleshoot, and optimize data workflows for reliability and performance.
Tech Stack :
- Microsoft Fabric (must-have)
- Azure Synapse Analytics/ADF (must-have)
- Databricks/PySpark (must-have)
- SQL (complex queries, optimization) (must-have)
- Power BI (highly preferred)
- Azure DevOps (highly preferred)
Requirements :
- 5+ years of overall corporate experience.
- 4+ years of experience in the data domain with Fabric/Azure Synapse/ADF.
- 2+ years of hands-on experience with Databricks and notebooks.
- 3+ years of experience in SQL.
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Excellent communication skills (English).
- Required to be on-site minimum 3 days a week in Gurgaon.
Did you find something suspicious?
Posted by
Shivangi Sharma
Senior Talent Acquisition Specialist at Hollister Global Business Service India
Last Active: 30 Sep 2026
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1675857