ScatterPie Analytics is looking for an experienced Azure Cloud Engineer to design, develop, and maintain scalable cloud-based data solutions on Microsoft Azure. The ideal candidate should possess expertise in Azure data services, ETL/ELT pipeline development, cloud storage, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain cloud-based data solutions using Microsoft Azure.
- Build and manage ETL/ELT pipelines using Azure Data Factory.
- Develop data ingestion and transformation workflows for structured and unstructured data.
- Work with Azure Blob Storage and Azure Data Lake Storage to manage enterprise data assets.
- Design and optimize Azure SQL Database solutions.
- Monitor, troubleshoot, and optimize production data pipelines.
- Implement data quality, security, and governance best practices.
- Collaborate with data engineers, analysts, and business stakeholders to deliver scalable solutions.
- Support deployment, monitoring,
and maintenance of cloud data platforms.
- Participate in solution architecture discussions and continuous improvement initiatives.
Requirements
Required Skills
- Azure Data Factory (ADF)
- Azure Blob Storage
- Azure Data Lake Storage (ADLS)
- Azure SQL Database
- ETL / ELT Development
- SQL Development and Optimization
- Data Ingestion & Data Transformation
- Production Support & Monitoring
Preferred Skills
- Azure Databricks
- PySpark
- Delta Lake
- CI/CD Pipelines
- Python
- Data Warehousing Concepts
Educational Qualification
- B.E. / B.Tech (IT, Computer Science, EXTC or related field)
- M.Sc. IT or equivalent qualification
Benefits
What We Offer
- Opportunity to work on enterprise-scale data transformation projects
- Exposure to modern cloud and data engineering technologies
- Collaborative and learning-focused work setting
- Career growth and certification opportunities
- High-impact client engagements across industries