16 days ago
Pune, IndiaSenior
Responsibilities
- Implement HubSpot data pipelines and secure extraction processes using APIs, connectors, or integration services.
- Develop and deploy automated ingestion pipelines into the IFS Enterprise Data Lake.
- Implement data transformation, cleansing, standardization, validation, reconciliation, and exception-handling processes.
- Design incremental integration patterns and optimize pipelines and storage for performance, scalability, and cost efficiency.
- Create analytical data models for reporting, analytics, dashboards, and AI consumption with minimal downstream impact.
- Develop metadata, lineage, schema, pipeline, transformation, and data-governance documentation.
- Gather business, functional, reporting, security, privacy, compliance, and data-consumption requirements.
- Document use cases, KPIs, metrics, dashboards, process flows, data flows, and functional specifications.
- Facilitate requirements reviews, stakeholder sign-off, and change management while maintaining traceability to solution design artifacts.
- Collaborate with data, analytics, architecture, sales, marketing, PMO, business stakeholders, systems integrators, and IFS teams.
Requirements
- 5–8 years of experience in data engineering.
- At least 3 years of hands-on experience with Microsoft Fabric and Azure data platforms.
- Experience with Microsoft Fabric AI capabilities, Azure AI Services, and Azure Machine Learning.
- Proven experience designing enterprise-scale data models and analytics platforms.
- Strong data management skills and understanding of star schemas, data warehouses, data marts, materialized views, normalization, joins, and changing dimensions.
- Understanding of relational and non-relational database management systems.
- Experience with CRM, CPQ, sales, commercial, ERP, quote-to-cash, or engineer-to-order solutions.
- Strong stakeholder management, written communication, and evidence-based reporting skills.
- University degree in Computer Science, Information Systems, Engineering, or Business Systems, or equivalent practical experience.
- Fluency in written and verbal English.
- Experience with HubSpot, DealHub, Salesforce, Dynamics, or similar CRM and sales platforms is highly beneficial.
- Experience with CPQ platforms, quotation and pricing flows, approval workflows, and DAR-like governance processes is highly beneficial.
- Experience with ERP integration, preferably IFS Cloud, THOR, SAP, Oracle, or NetSuite, is highly beneficial.
- Experience with Azure BI technologies and tools including Fabric, Synapse, Power BI, Azure SQL, SSIS, SSAS, Purview, OneLake, and ADF.
- Experience with Jira, Azure DevOps, Confluence, SharePoint, Teams, or equivalent tools is beneficial.
- Understanding of engineer-to-order and engineer-to-cash processes, business data flows, data quality, and master-data dependencies.
- Fabric Data Engineer certification is highly beneficial.
Benefits
- Six-month fixed-term contract.
- Hybrid work opportunities and flexibility to support diverse working preferences.
- Inclusive, global work environment with opportunities to collaborate across teams and cultures.
Tech Stack
Categories
Data Engineering
About IFS
IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.