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Job Title: Azure Data Engineer-Insurance is a Plus Experience: 710 Years Location: Delhi/NCR (Hybrid) Employment Type: Full-Time About the Role We are looking for a highly skilled Azure Data Engineer with 710 years of experience in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong expertise in Azure Data Factory, Azure Databricks, PySpark, Python, SQL, and modern data warehousing solutions. You will be responsible for building robust ETL/ELT pipelines, optimizing data platforms, and enabling enterprise analytics. Key Responsibilities - Design, develop, and maintain scalable ETL/ELT pipelines using Microsoft Azure services. - Build and optimize data ingestion and transformation pipelines using Azure Data Factory (ADF) and Azure Databricks. - Develop PySpark notebooks for large-scale data processing. - Design and manage data lakes using Azure Data Lake Storage Gen2 (ADLS Gen2). - Develop scalable data warehouse solutions using Azure Synapse Analytics. - Implement data quality, validation, monitoring, and logging frameworks. - Optimize Spark jobs for performance, scalability, and cost efficiency. - Collaborate with business stakeholders, architects, and cross-functional teams to gather requirements and deliver high-quality data solutions. - Implement CI/CD pipelines using Azure DevOps. - Troubleshoot production issues and ensure high availability of data pipelines. - Follow best practices for security, governance, and data lifecycle management. Mandatory Skills - 710 years of experience in Data Engineering. - Strong programming skills in Python. - Excellent knowledge of SQL. - Hands-on experience with PySpark / Apache Spark. - Strong expertise in Azure Data Factory (ADF). - Hands-on experience with Azure Databricks. - Experience with Azure Data Lake Storage Gen2 (ADLS Gen2). - Experience with Azure Synapse Analytics. - Robust understanding of ETL/ELT, Data Warehousing, and Data Lake concepts. - Experience working with Azure DevOps and Git. .
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.