Senior Data Engineer

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