Data Engineer
Commvault (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 4h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, build, and scale enterprise data platforms with robust, cloud-native data pipelines ensuring data quality and governance.
- Design and maintain scalable ELT/ETL pipelines, data models, and data stores primarily on Azure Synapse, Azure Databricks, and SQL Server platforms.
- Collaborate cross-functionally to deliver optimized data solutions supporting BI tools and AI/ML integrations, ensuring performance and compliance.
Minimum Requirements
- 2-4+ years of experience in data engineering, BI/analytics engineering, or data architecture.
- Proficiency in SQL, data modeling, ETL/ELT pipeline development, and performance tuning.
- Hands-on experience with Azure cloud data platforms including Synapse and Databricks.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field.
Ideal Candidate Profile
- Experienced in designing scalable, governed data solutions in cloud-native environments, especially Azure ecosystem.
- Skilled in building and optimizing data platforms supporting advanced analytics, BI, and AI/ML data requirements.
- Able to collaborate with business and analytics teams to translate complex requirements into maintainable data architectures.