Azure Cloud Engineer

ScatterPie Analytics Private Limited; Thane; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Opportunity to work on enterprise-scale data projects

Exposure to cloud and data engineering technologies

Collaborative work environment

Job summary

ScatterPie Analytics Private Limited is seeking an experienced Azure Cloud Engineer to design, develop, and maintain scalable cloud-based data solutions. You will leverage Azure data services for ETL/ELT pipeline development and manage cloud storage solutions.

The ideal candidate should possess the necessary skills in Azure Data Factory, SQL development, and modern data engineering practices, working collaboratively with teams to deliver impactful solutions.

Qualifications

• Expertise in Azure data services and ETL/ELT pipeline development.
• Strong understanding of cloud storage and data engineering practices.
• Experience in SQL development and optimization.

Responsibilities

• Design, develop, and maintain Azure-based data solutions.
• Build and manage ETL/ELT pipelines in Azure Data Factory.
• Optimize production data pipelines for performance.

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 & Transformation

Production Support & Monitoring

Education

B.E. / B.Tech (IT, Computer Science, EXTC or related field)

M.Sc. IT or equivalent qualification

Tools

Azure Databricks

PySpark

Delta Lake

CI/CD Pipelines

Python

Data Warehousing Concepts

Job description

Job Description – Azure Cloud Engineer

Position: Azure Cloud Engineer

Location: Mumbai

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.

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 & 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

• Opportunity to work on enterprise-scale data transformation projects
• Exposure to modern cloud and data engineering technologies
• Collaborative and learning-focused work environment
• Career growth and certification opportunities
• High-impact client engagements across industries

Joining Preference

Immediate to 30 Days