Enabling Areas - National Office - Manager - Data Engineering
Deloitte (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and manage scalable data lake solutions and data pipelines using Microsoft Azure technologies including ADLS Gen2, ADF, and Azure SQL.
- Lead technical design, development, testing, and implementation of data engineering solutions while mentoring a small team and ensuring delivery quality and timelines.
- Implement data quality frameworks, troubleshoot complex data issues, and support enterprise analytics including financial and operational reporting data structures.
Minimum Requirements
- 8–12 years overall experience in data engineering, database development, or related technology roles.
- Minimum 4–5 years hands-on experience with Microsoft Azure data engineering technologies such as Azure Data Lake Storage Gen2, Azure Data Factory, and Azure SQL Database.
- Strong advanced SQL/T-SQL development skills including query optimization, stored procedures, and performance tuning.
- Work Experience Required: 8–12 years experience; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in managing technical deliverables and guiding small data engineering teams within enterprise or large multinational settings.
- Proficient in designing end-to-end ETL/ELT pipelines and integrating large-scale enterprise datasets from multiple source systems, preferably in financial or professional services domains.
- Familiar with data governance, data quality frameworks, and enterprise reporting enablement involving financial planning and operational analytics.