Data Platform Engineer
Rockwell Automation (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 18–28 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain relational and canonical data models and scalable data services using Azure SQL and other Azure data platform technologies.
- Build and manage data acquisition, integration, and transformation pipelines leveraging Azure PaaS services and DevOps methodologies.
- Collaborate with cross-functional teams to deliver enterprise data products, support data governance, and ensure scalable, secure, and high-performance data platform operations.
Minimum Requirements
- Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Engineering or equivalent relevant work experience.
- Strong experience with Azure SQL Database, T-SQL, relational database design, data modeling, and performance tuning.
- Experience in enterprise-scale data integration, transformation solutions, and familiarity with full software development lifecycle (SDLC) and Agile methodologies.
- Experience with Azure DevOps, Git, CI/CD pipelines, and deployment automation. Work Experience Required: Not explicitly mentioned in the JD. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- 5+ years of experience in Data Engineering, Data Platform Engineering, or related fields with a focus on Azure data platform technologies including Databricks, Delta Lake, ADLS, ADF, Microsoft Fabric.
- Experience designing and evolving enterprise common data models or canonical data models and working with business stakeholders to translate requirements into scalable solutions.
- Comfortable operating in a global enterprise environment, collaborating cross-functionally, with exposure to data governance, data quality, metadata management, and cloud-native deployment architectures.