Senior Data Engineer (6 Months Fixed Term Contract)
IFS (company site, opens in a new tab)5–8 yrsPuneOn-siteDirect career pageEst. 14–26 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Implement secure, scalable data pipelines to extract and ingest HubSpot CRM data into the IFS Enterprise Data Lake using APIs and automation.
- Design and develop data models that support reporting, analytics, and AI with minimal impact on existing data models from THOR/IFS Cloud.
- Collaborate with stakeholders across marketing, sales, analytics, and technical teams to ensure high data quality, documentation, and compliance throughout the data integration lifecycle.
Minimum Requirements
- 5-8 years of data engineering experience with at least 3 years hands-on on Microsoft Fabric and Azure data platforms.
- University degree in Computer Science, Information Systems, Engineering, Business Systems, or equivalent practical experience.
- Strong experience in HubSpot data structures, CRM data integration, and analytics platform implementation.
- Fluency in English (written and verbal).
Ideal Candidate Profile
- Experienced with enterprise-scale data modeling and analytics platforms, especially in CRM and sales-related environments (HubSpot, DealHub, Salesforce, Dynamics).
- Technical proficiency in Azure BI technologies including Fabric, Synapse, Power BI, Azure SQL, SSIS, SSAS, Purview, OneLake, and ADF.
- Ability to work closely with cross-functional teams and manage stakeholder requirements in complex data integration projects involving ERP and CPQ systems.