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Company: Mandali Consultancy Services Job Type: Full-time Experience: 5+ Years / 9+ Years (Minimum 3+ Years Relevant Experience) Notice Period: Immediate to 15 Days Job Description Mandali Consultancy Services is hiring experienced Azure Data Engineers to work on enterprise-scale cloud data platforms and analytics solutions. We are looking for professionals with hands-on experience in Azure Data Factory, Azure Databricks, Synapse Analytics, and Azure Data Lake who can build scalable, secure, and high-performance data pipelines. If you're passionate about cloud data engineering and want to work on cutting-edge Azure technologies, we'd love to hear from you. Key Responsibilities Design, develop, and maintain Azure data pipelines and data integration solutions.Build and optimize ETL/ELT workflows using Azure Data Factory and Azure Databricks.Develop scalable and secure data architectures on Microsoft Azure.Work with Azure Synapse Analytics for enterprise data warehousing and analytics.Create and manage data ingestion pipelines from multiple data sources.Optimize Spark jobs and Databricks notebooks for performance.Collaborate with business stakeholders, architects, and development teams.Monitor, troubleshoot, and maintain production data pipelines.Ensure data quality, governance, and security best practices.Prepare technical documentation and support production deployments.Required Skills Azure Data Factory (ADF)Azure Synapse AnalyticsAzure DatabricksAzure Data Lake Storage (ADLS)Azure Blob StorageSQLApache SparkPythonPowerShellETL/ELT DevelopmentData ModelingAzure DevOps (Basic)CI/CD ConceptsPerformance TuningTroubleshootingPreferred Skills Experience with Microsoft Fabric (Preferred)Knowledge of Delta LakeAzure Key VaultAzure Monitor & Log AnalyticsGit Version ControlStrong analytical and problem-solving skillsExcellent communication and stakeholder managementQualifications Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.Minimum 3+ years of relevant experience in Azure Data Engineering.Why Join Us Work with leading enterprise clients.Exposure to large-scale cloud transformation projects.Career growth and learning opportunities.Collaborative and technology-driven environment.Competitive compensation.How to Apply Interested candidates are requested to email their updated resume to mandaliconsultancy@gmail.com with the subject: Azure Data Engineer | Your Name Please include the following details: Updated ResumePAN Card NumberTotal ExperienceRelevant Experience (Azure Data Engineering)Current CTCExpected CTC (ECTC)Notice PeriodCurrent LocationPreferred Work LocationAlternate Email IDContact NumberEmail: mandaliconsultancy@gmail.com Contact: +91 9121278666 / +91 7799425762 Indeed Skills Azure Data Factory Azure Databricks Azure Synapse Analytics Azure Data Lake Azure Blob Storage SQL Spark Python PowerShell ETL ELT Data Engineering Azure DevOps Data Modeling CI/CD Cloud Computing Compensation: 80,000.00 - 100,000.00 per month Work Location: In person .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.