Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain end-to-end data ingestion and transformation pipelines using Azure Data Factory (ADF).
Build and optimize scalable ETL/ELT workflows integrating multiple on-premises and cloud data sources into Azure Data Lake Storage (ADLS) and other enterprise data platforms.
Monitor, troubleshoot, and optimize pipeline performance while collaborating with stakeholders to deliver secure and scalable Azure-based data engineering solutions.
Minimum Requirements
2-3 years of experience in Data Engineering with Azure Data Platform.
Hands-on experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) Gen2, and strong SQL development skills including query optimization.
Familiarity with ETL/ELT pipeline design and maintenance, Azure SQL Database or Synapse Analytics, and source control tools like Git or Azure DevOps.
Work Experience Required: 2-3 years in data engineering and Azure data technologies.
Ideal Candidate Profile
Experienced in enterprise-scale data modernization projects including cloud migration, data lake implementations, and real-time analytics.
Comfortable collaborating with architects, business analysts, and data scientists to translate business needs into technical solutions on Azure.
Strong understanding of data warehousing concepts, dimensional modeling, and cloud-based data integration patterns.