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 contemporary 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 Advantages
What We Offer
Opportunity to work on enterprise-scale data transformation projects
Exposure to up-to-date cloud and data engineering technologies
Collaborative and learning-focused work environment
Career growth and certification opportunities
High-impact client engagements across industries Work Location: Mumbai