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Kolkata · Hybrid · 5-8 Yrs · Oct 12
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
IFS is a billion-dollar revenue company with 7000+ employees on all continents.
Responsibilities
- AI consumption.
- Analytics teams, PMO and Sales stakeholders, the role ensures optimal data integration pipelines, high data quality and ensure minimal impact on the data model. The engagement will look at the existing data models built from THOR/ IFS Cloud & provide a least minimal impact solution with data sourced from Hubspot.
- Analytics, who will provide strategic oversight, business priorities and ensure successful project delivery. The role will also work closely with the Senior Technical Manager, Data &
- Analytics on solution architecture, technical design, implementation planning, data integration activities and adherence to enterprise data standards.
- Implement secure data extraction processes from HubSpot using APIs, connectors or integration services.
- Development and deployment of automated data ingestion pipelines to load HubSpot data into the IFS Enterprise Data Lake.
- Implementation of data transformation, cleansing and standardization processes in accordance with approved business rules and data models.
- Design incremental data integration patterns to support timely analytics and operational reporting.
- Develop metadata, lineage and documentation standards for HubSpot data assets within the data lake ecosystem.
- Collaborate with business stakeholders, analytics teams and data engineers to ensure minimal reporting impact during the transition from the existing CRM platform (THOR/ IFS Cloud) to HubSpot.
- Optimize data pipelines and storage structures for performance, scalability and cost efficiency.
- Create data models to support reporting, analytics with minimal downstream impact.
- Be involved in stakeholder workshops and requirement gathering sessions to capture business, functional and reporting needs.
- Document data pipelines, schema and transformations
- Document analytical use cases, KPIs, metrics, dashboards and reporting requirements.
- Define data quality, validation, reconciliation and exception-handling requirements.
- Capture security, privacy, compliance and data governance requirements.
- Document user roles, access controls and data consumption requirements for business and technical stakeholders.
- Develop process flows, data flow diagrams and functional specifications to support implementation.
- Facilitate requirement reviews, stakeholder sign-off, and change management throughout the project lifecycle.
- Provide traceability between business requirements, functional requirements and solution design artifacts.
Qualifications
- 5-8 years of experience in data engineering.
- 3+ years of hands-on experience with Microsoft Fabric and Azure data platforms.
- Microsoft Fabric AI Capabilities
- Azure AI Services
- Azure Machine Learning
- Proven experience designing enterprise-scale data models and analytics platforms.
- Strong data management skills
- Good understanding of Star Schema based framework, Data warehouse and Data Mart and Materialized View
- Good understanding of database concepts like normalization, joins, changing dimensions etc..
- Good understanding of relational and non-relational database management systems
- Experience in CRM, CPQ, sales, commercial, ERP or quote-to-cash / Engineer-to-order solutions.
- Strong stakeholder management, written communication and evidence-based reporting skills.
- University degree in Computer Science, Information Systems, Engineering, Business Systems or equivalent practical experience; fluency in English.
- Experience with HubSpot, DealHub, Salesforce, Dynamics or similar CRM / sales platforms.
- Experience with CPQ platforms, quotation/pricing flows, approval workflows and DAR-like governance processes.
- Experience with ERP integration, preferably IFS Cloud / THOR, SAP, Oracle or NetSuite.
- Experience with Azure BI technology (Fabric, Synapse, Power BI, Azure SQL, SSIS, SSAS, Purview, OneLake, ADF)
- Fabric, Synapse, Power BI, Azure SQL, SSIS, SSAS, Purview, OneLake, ADF
- Management tools such as Jira, Azure DevOps.
- Collaboration tools such as Confluence, SharePoint, Teams or equivalent.
- Engineer-to-Order / Engineer-to-Cash process concepts.
- Engineer, account, contact, opportunity, quote, contract and order data flows.
- Data quality and master data dependencies.
Education
- University degree in Computer Science, Information Systems, Engineering, Business Systems or equivalent practical experience.
- Fluency in English, written and verbal.
- Fabric Data Engineer.
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Senior Data Engineer (6 Months Fixed Term Contract) at IFS?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. IFS may attach structured assessments to interview rounds after you apply.
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- Is Senior Data Engineer (6 Months Fixed Term Contract) remote or on-site in Kolkata, West Bengal?
- This listing is marked hybrid with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer (6 Months Fixed Term Contract) role at IFS?
- This is a senior Senior Data Engineer (6 Months Fixed Term Contract) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.