Data Engineer - Senior 7 (Data Modeler)
Cummins Inc. (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 25–40 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, governance, and continuous evolution of enterprise data models and data products, ensuring alignment with architecture standards and business requirements.
- Design and build scalable, high-performance data engineering solutions including data ingestion, transformation, and integration pipelines across cloud platforms ensuring data quality, security, and governance.
- Collaborate with technical teams and business stakeholders to translate requirements into governed, discoverable, AI-ready data products applying Data-as-a-Product principles and metadata standards.
Minimum Requirements
- 8+ years of experience in enterprise data modeling and data engineering supporting large-scale data warehouses and cloud platforms.
- Bachelor's degree in Computer Science, IT, Data Analytics, Engineering, Information Systems, or related field; Master's degree preferred.
- Strong hands-on expertise in data engineering and cloud data platforms such as Snowflake, Databricks, SQL, Matillion, dbt, Power BI.
- Work Experience Required: 8+ years in relevant discipline as outlined
Ideal Candidate Profile
- Experienced in enterprise data modeling techniques including dimensional modeling, Data Vault, normalized and canonical models, semantic modeling, and master data management.
- Proven ability to govern and review complex data models ensuring scalability, reusability, and maintainability across multiple data products.
- Familiar with Data-as-a-Product operating models, metadata management, data lineage, and advanced analytics platforms supporting AI/ML initiatives.