ScatterPie Analytics
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Chandigarh · On-site · 1-3 Yrs · 3 days ago
Software Development · 51 to 200 Employees · Mumbai, India
Hiring: Engineering
What employees say
+ The work environment is collaborative and supportive. I gained valuable hands-on experience in AI and machine learning projects.
− I dont think so there is any cons about it because here my work is very good. people here are very good and supportive.
More reviews on the company profile.
Interview experience · Senior Tableau Developer
It was a technical interview, interviewer asked me to install tableau desktop in my laptop. Asked me to create donut chart, grand total, Calculation formula. And it was for 20mins
Average difficulty · Pune · 3 reports
More interview insightsJob description
Overview
Position: Azure Cloud Engineer
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.
- 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.
Qualifications
- 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.
- 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
- CI/CD Pipelines
- Data Warehousing Concepts
Education
- 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
- Work Location: Mumbai
- Joining Preference: Immediate to 30 Days .
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Azure Cloud Engineer at ScatterPie Analytics?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ScatterPie Analytics may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Cloud Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Cloud Engineer remote or on-site in Chandigarh?
- This listing is marked on_site with location Chandigarh. Confirm details on the job description before applying.
- What skills matter for this Azure Cloud Engineer role at ScatterPie Analytics?
- This is a mid-level Azure Cloud Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.