Job title - Senior Data Engineer
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 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 (include KPIs and ESH requirements)
- 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
Desired experience and qualifications
Work experience: 6+ years
Education: Level: Master Subject: Computer Science
Languages: English
Soft skills:
- Bachelor's or master's 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
