Senior Data Engineer
NorthBay Solutions (company site, opens in a new tab)6–10 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data platforms and data pipelines using Microsoft Azure services, supporting enterprise analytics, BI, reporting, and AI/ML initiatives.
- Implement and optimize ETL/ELT frameworks, data warehousing, data lakes, and lakehouse architectures for structured, semi-structured, and unstructured data.
- Ensure data platform reliability, security, governance, and performance, including integration with business stakeholders and AI/ML solutions.
Minimum Requirements
- 6–10 years of professional experience in Data Engineering, Data Warehousing, or Enterprise Data Platform development.
- Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.
- Strong hands-on experience with Microsoft Azure Data Services including Azure Data Factory, Synapse Analytics, Data Lake Storage Gen2, and Azure SQL Database.
- Work model: Onsite in Abu Dhabi, United Arab Emirates.
Ideal Candidate Profile
- Experienced with large-scale data integration and cloud-native data engineering on Azure, including batch and real-time data ingestion.
- Skilled in designing and optimizing ETL/ELT pipelines, data warehousing, dimensional modeling, and lakehouse architectures.
- Familiar with DevOps practices, version control, CI/CD, and cross-functional collaboration involving technical and business teams.