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Azure Data Engineer - Job Title: Azure Data Engineer Location: Pune/Mumbai Experience Level: 5 to 7 Years Job Purpose: To implement data engineering solutions on Enterprise Data Platform using latest technologies available in Azure Cloud space conforming to the best-in-class design standard & agreed requirements to achieve business objective Accountabilities/Responsibilities: - Build and operationalize data solutions for business using Azure services in combination with custom solutions Azure Data Factory, Azure Data Flows, Azure Databricks, Azure Data Lake Gen 2, Azure SQL etc - Experience in migrating on-premises data warehouses to data platforms on AZURE cloud - Designing and implementing data engineering, ingestion and transformation functions using ADF, Databricks - Proficient in Py-Spark - Experience in building Python based APIs on Azure Function Apps - Experience on Azure Logic apps - Experience in Lakehouse/Datawarehouse implementation using modern data platform architecture - Capacity Planning and Performance Tuning on ADF & Databricks pipelines - Support data visualization development using Power BI - Exposure across all the SDLC process, including testing and deployment - Experience in relational and dimensional modelling, including big data technologies - Experience in Azure DevOps Build CI/CD pipelines for ADF, ADLS, Databricks, Azure SQL DB etc - Experience of working in secured Azure environments using Azure Key Vaults, Service Principals, and Managed Identities - Understanding of data masking, encryption and other practices used in handling sensitive data - Ability to interact with Business for requirement gathering and query resolutions - Working on offshore office-based development teams, collaborating within a team environment and participating in typical project lifecycle activities such as requirement analysis, testing and release - Develop Azure Data skills within the team through knowledge sharing sessions, articles, etc. - Adherence to organisations Risk & Controls requirements - Participate in various initiatives/forums/groups and contribute effectively from idea creation to proto-type development. Support Strategic programs - Valuable to have knowledge on Apigee (Googles API Management) Knowledge, Skills, Experience & Educational Qualification Knowledge & Skills: - Azure Data Factory - Azure Data Lake Storage V2 - Azure SQL - Azure Data Bricks - PySpark - Azure DevOps - Power BI Report - Confidence & excellent communication Educational Qualification: Graduate/post-graduate. Preferably with specialisation in Computer Science, Statistics, Mathematics, Data Science, Engineering or related discipline Microsoft Azure certification (good to have) .
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.