Azure Cloud Engineer

Posted 2 Days Ago
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Chandigarh, IND
In-Office
Mid level
Artificial Intelligence • Analytics • Business Intelligence • Consulting
The Role
Designs, develops, and maintains scalable Azure-based data solutions. Builds ETL/ELT pipelines with Azure Data Factory, manages Blob Storage and ADLS, optimizes Azure SQL databases, and develops ingestion and transformation workflows. Monitors and troubleshoots production pipelines while implementing data quality, security, and governance practices. Collaborates with engineers, analysts, and stakeholders and supports deployment, maintenance, architecture discussions, and continuous improvement of cloud data platforms.
Summary Generated by Built In
Job Description – Azure Cloud Engineer
Position: Azure Cloud Engineer
Location: Chandigarh
Department: Data Platforms & Engineering
Experience: 3–5 Years
About the Role

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.


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
  • 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
Work Location: Mumbai
Joining Preference: Immediate to 30 Days


Skills Required

  • 3-5 years of professional experience
  • Azure Data Factory
  • Azure Blob Storage
  • Azure Data Lake Storage
  • Azure SQL Database
  • ETL/ELT development
  • SQL development and optimization
  • Data ingestion and transformation
  • Production support and monitoring
  • Azure Databricks
  • PySpark
  • Delta Lake
  • CI/CD pipelines
  • Python
  • Data warehousing concepts
  • B.E./B.Tech in IT, Computer Science, EXTC, or related field
  • M.Sc. IT or equivalent qualification
  • Immediate to 30-day joining availability
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The Company
222 Employees
Year Founded: 2017

What We Do

ScatterPie Analytics is a data analytics and business intelligence company that modernizes enterprise decision-making. It brings together open-source technologies and enterprise tools to create powerful, cost-effective, and flexible intelligence solutions. The company delivers end-to-end analytics, including data engineering, cloud data platforms, business intelligence, AI, decision intelligence, and industry-focused analytics solutions, transforming raw data into actionable insights for evidence-based decisions across modern organizations.

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