Senior Data Engineer For BI

Job title -

Senior Data Engineer for BI & Analytics

Job purpose

As part of the Global IT organization, you will be responsible for leading and supporting large-scale implementation projects and building robust data ingestion pipelines from ERPs / cloud-based SaaS systems and other environments into our central data warehouse (Snowflake). You will develop reusable and scalable data models and data products ensuring our foundation for governed self-service BI & Analytics.

Main selling points of the job

We are seeking a skilled and motivated Senior Data Engineer to join our BI & Analytics team at our Pune office. In this role, you will lead the design and implementation of scalable, reusable, and optimized end-to-end data pipelines. You will collaborate closely with both technical and business stakeholders to gather requirements, develop data models, and deliver high-quality solutions that drive insight and performance.

Main accountabilities and tasks

• Leading and supporting large-scale implementation projects, managing internal and external resources
• Identifying relevant data sources based on business needs and system architecture
• Building robust data ingestion pipelines from ERP / cloud-based SaaS systems and other environments into our central data warehouse.(Snowflake)
• Designing and implementing transformation pipelines to deliver clean, structured data models for BI reporting tools
• Defining reusable, scalable data models (e.g., star/snowflake schemas)
• Enhancing and extending our common data integration framework
• Debugging and optimizing existing pipelines for performance and reliability
• Automating testing procedures to ensure consistent data quality

Job scope

Geographic: Global

Key internal / external stakeholders: IT and other business stakeholder

Desired experience and qualifications

Work experience: >5 years

Expertise (e.g. professional, technical): see section soft skills

Education: Level: Master Subject: Computer Science

Languages: English

Soft skills: See below:

• Bachelors or masters degree in computer science, Engineering, Data Science, or a related field
• Minimum 5 years of hands-on experience in:
• Data Management (Snowflake, Azure Data Lake Store, DBT)
• Data Modeling (Inmon, Kimball, Data Vault)
• Data Ingestion & Processing (Azure Data Factory, Azure Functions, Stream Analytics, API Management)
• DevOps practices (CI/CD, test automation, Azure DevOps, Git/GitHub)
• Strong business acumen and proven ability to translate data into actionable insights
• Experience with enterprise systems such as SAP (ECC/S4), Microsoft Dynamics 365, Salesforce and others across multiple business domains like Sales, Production, Materials Management, or Finance
• Project management skills: certifications in PM, ITSM, or ITIL are a plus
• Familiarity with agile methodologies (Scrum, SAFe, etc.)
• Strategic thinker with a detail-oriented mindset and a positive, proactive attitude
• Excellent communication skills across all organizational levels
• Demonstrated success in delivering results within a global matrix organization
• Fluency in English is a must

Additional details

Travel requirement: >15 %