Azure Data Engineer
Northern Trust (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services primarily for Procurement modernization.
- Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform.
- Implement data security, compliance controls, troubleshoot production data pipeline issues, and develop technical documentation across data engineering projects.
Minimum Requirements
- 5 to 7 years of technology experience including at least 5 years in data engineering.
- 5 years of hands-on experience with Azure Data Factory, Terraform, SQL, and data modeling.
- 3 years of experience with Azure Functions and 2 years of Python experience.
- Experience with Azure Data Lake, Azure Storage, Azure SQL; Work Experience Required: 5+ years of data engineering experience.
Ideal Candidate Profile
- Experienced in enterprise cloud-based data engineering projects, particularly within Procurement systems or data integrations.
- Proficient in designing scalable, secure, and cost-efficient Azure-based ETL and data architecture solutions.
- Capable of collaborating with multiple stakeholders including developers, analysts, and business teams to deliver reliable data solutions.