Senior Data Engineer
Shell (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 5h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement Lakehouse-based data architectures including Medallion Architecture to support multiple product teams using Azure Databricks, PySpark, and SQL.
- Build and maintain high-volume, high-velocity data pipelines for batch and streaming workloads ensuring scalability and performance optimization.
- Lead technical direction, develop reusable data engineering frameworks, and collaborate with cross-functional teams to deliver data-driven solutions and support advanced analytics/AI workflows.
Minimum Requirements
- Bachelor's Degree in IT, Computer Science, Data Science, or related field.
- 8–12 years of experience in Data Engineering, Data Platform Development, or related data roles.
- Mandatory: Databricks Certified Data Engineer Professional certification.
- Strong hands-on experience with Databricks, Azure Databricks, Databricks Mosaic AI, PySpark, SQL, Lakehouse and Medallion Architectures, and enterprise-level data platform design.
Ideal Candidate Profile
- Experienced leader capable of providing technical direction and defining engineering standards in complex data engineering projects.
- Skilled at partnering with business/product stakeholders to translate requirements into scalable technical solutions.
- Familiar with Energy, Oil & Gas, Utilities sectors and enterprise-grade data governance, security, and performance practices in regulated environments.