Fujitsu
Job Description Senior Technical Consultant - BI Developer / Data Warehousing - 9026 Job Location: Pune Location Flexibility: Multiple Locations in Country Req Id: 9026 Posting Start Date: 6/22/26 At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age. With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs). Job Role: Senior Technical Consultant - BI Developer / Data Engineer Shift: UK Shift (2.00 PM to 10.00 PM) Work Mode: Hybrid Relevant Exp: 9+ Years Job Description: Job summary: Skilled BI developer / Data Engineer with extensive hands on experience on the listed tools/technologies and is comfortable working across the full data lifecycle - from raw ingestion to reporting and visualization Key Responsibilities Data Engineering & ETL/ELT Must Have: Strong understanding of Data warehouse concepts Good knowledge of Data Marts, Data warehousing, Operational Data Store (ODS), OLAP, Data Modelling like Dimensional Data Modelling, Star Schema Modelling, Snow-Flake Modelling, FACT and Dimensions Tables using Analysis Services. Extensive development experience in ODI to Extract/Load/Transform data from multiple sources such as Oracle, MS SQL Server,DB2, Legacy systems, Flat Files, JSON and XML Files into ODS and EDW (Enterprise Data Warehouse) systems Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI), including load plan packages, scenarios, and executions Build and manage Snowflake data layers covering RAW ingestion, Streams, Tasks, Stored Procedures, and Dynamic Tables Mirror Snowflake databases to Microsoft Fabric and manage Lakehouse/Warehouse configurations Develop and implement Data Vault models (Hub, Link, Satellite) for scalable, auditable data architecture Build and optimize SQL/PLSQL transformations, views, packages, and stored procedures in Oracle DB Develop and manage Kafka-based data ingestion pipelines with a solid understanding of producers and consumers Integrate data from REST APIs and JSON sources into the data pipeline Work within the Microsoft Fabric ecosystem for data modelling, reporting, and Lakehouse/Warehouse management Excellent spoken/written English and communication / documentation skills Willingness to learn new things at a fast pace Sincerely adheres to standards published by the client and follows instructions to the TVery good team player with excellent collaboration skills. DevOps & Collaboration Use Azure DevOps and Git for source control, pull request (PR) creation and approval, and deployment pipeline management Perform data validation, testing, and deployment across environments Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver quality solutions Leverage AI tools to improve development productivity and efficiency Nice to Have: Experience with Oracle Fusion Cloud / EBS Familiarity with BI Publisher (BIP) Exposure to advanced Microsoft Fabric features or admin capabilities Experience with Tableau for dashboard development Familiarity with Azure DevOps CI/CD pipelines Experience on Power BI reporting Experience and or knowledge of Agile Methodology is a plus. Flexible for working hours as per Offshore/onsite model. Relocation Supported: Yes Visa Sponsorship Approved: No At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.