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Job Title:

Senior Data Engineer

Company: Sulzer

Location: Pune, Maharashtra

Created: 2026-03-25

Job Type: Full Time

Job Description:

Job title - Senior Data EngineerJob 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 resourcesIdentifying relevant data sources based on business needs and system architectureBuilding 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 toolsDefining reusable, scalable data models (e.g., star/snowflake schemas)Enhancing and extending our common data integration frameworkDebugging and optimizing existing pipelines for performance and reliabilityAutomating testing procedures to ensure consistent data qualityDesired experience and qualifications Work experience: 6+ yearsEducation: Level: Master Subject: Computer ScienceLanguages: EnglishSoft skills: Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related fieldMinimum 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 insightsExperience with enterprise systems such as SAP (ECC/S4), Microsoft Dynamics 365, Salesforce and others across multiple business domains like Sales, Production, Materials Management, or FinanceProject management skills: certifications in PM, ITSM, or ITIL are a plusFamiliarity with agile methodologies (Scrum, SAFe, etc.)Strategic thinker with a detail-oriented mindset and a positive, proactive attitudeExcellent communication skills across all organizational levelsDemonstrated success in delivering results within a global matrix organizationFluency in English is a must

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