We are looking for an experienced Azure Data Engineer with strong expertise in cloud-based data engineering, ETL development, and enterprise data solutions. The ideal candidate should have hands-on experience working with Azure data services and large-scale data processing environments.
Key Responsibilities:
Design, develop, and maintain ETL pipelines and data workflows
Build scalable data solutions using Azure Data Factory, Synapse, and Databricks
Process and transform large datasets using Python and Spark
Develop and optimize Azure SQL databases and data models
Collaborate with analytics and business teams for reporting requirements
Ensure data quality, performance, and security standards
Monitor and troubleshoot data pipeline and integration issues
Support Power BI reporting and dashboard integrations
Participate in architecture discussions and data strategy planning
Required Qualifications:
5–6 years of experience in Data Engineering
Strong hands-on experience with Azure Data Factory (ADF)
Experience with Synapse Analytics, Databricks, and Azure SQL
Strong knowledge of Python and Spark for data processing
Experience building ETL pipelines and data integration workflows
Good understanding of data modeling, ER diagrams, and UML concepts
Familiarity with Power BI and reporting tools
Strong analytical and troubleshooting skills
Preferred Skills:
Experience with cloud-native data architectures
Exposure to DevOps and CI/CD practices for data engineering
Knowledge of big data technologies and performance optimization techniques will be an added advantage
Interested in this role?
Apply now and our recruiters will contact you.
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