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Job Overview : We are seeking an experienced Senior Data Engineer to design, build, optimize, and support enterprise-scale data platforms on Azure. The ideal candidate will possess strong expertise in data ingestion, transformation, orchestration, and data warehousing using technologies such as Azure Databricks, Azure Data Factory (ADF), Delta Lake, PySpark, and Azure SQL. The candidate will work closely with business stakeholders, data architects, analysts, and application development teams to deliver scalable, high-performance, and reliable data solutions. Responsibilities: Design, develop, and maintain scalable data ingestion, transformation, and delivery pipelines. Build ETL/ELT solutions using Azure Databricks, PySpark, and Azure Data Factory (ADF). Develop and optimize Databricks notebooks, workflows, and scheduled jobs. Implement and maintain Delta Lake-based Bronze, Silver, and Gold data layers. Integrate data from databases, APIs, files, and cloud storage platforms. Ensure data quality, performance, reliability, and operational support for production pipelines. Collaborate with architects, analysts, and business stakeholders to deliver data solutions. Bachelor's degree in Computer Science, Information Technology, or a related field. 7+ years of experience in Data Engineering and Data Warehousing. 4+ years of hands-on experience with Azure Databricks and PySpark. Experience working in Agile/Scrum environments. Excellent communication and problem-solving skills. Skills: Azure Databricks (PySpark, Spark SQL, Delta Lake), Azure Data Factory (ADF) ,Databricks Jobs & Workflows, Azure Data Lake, Storage (ADLS Gen2), Azure SQL Database /SQL Server, ETL/ELT Design & Development, Data Ingestion &Data Transformation, Data Modeling & Data Warehousing, Performance Tuning & Optimization, CI/CD, Git, Data Quality, Monitoring, and Production Support .
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.