Location: Chandigarh
Department: Data Platforms & Engineering
Experience: 3–5 Years
About the Role
Scatter Pie 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.
RequirementsRequired 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
BenefitsWhat We Offer
- Chance 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
Work Location: Mumbai
Joining Preference: Immediate to 30 Days
Requirements
What You'll Do: ? Design and maintain cloud-based data solutions on Microsoft Azure ? Build and manage ETL/ELT pipelines and data ingestion workflows ? Develop and optimize SQL-based transformations and reporting layers ? Monitor, troubleshoot, and support production data environments ? Work with Azure storage and database services to manage large-scale data workloads ? Collaborate with engineering and business teams to deliver robust data solutions ? Support scalable data processing using contemporary cloud technologies