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Job Description Data Engineer (Azure Databricks) Job Title: Data Engineer Azure Databricks Experience: 710 Years Location: Gurugram , Bangalore (Local Candidates ) Employment Type: Full-Time Job Summary We are seeking an experienced Data Engineer with strong expertise in Azure Cloud and Databricks to design, build, and optimize scalable data pipelines. The ideal candidate will have hands-on experience in PySpark, Python, SQL, Azure Data Factory, Azure Data Lake, and Delta Lake, with a strong understanding of modern data engineering practices and cloud-based data platforms. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Databricks and Azure Data Factory.Build high-performance data solutions using PySpark, Python, and SQL.Develop and optimize data models, data warehouses, and Delta Lake architectures.Implement and maintain Delta Live Tables (DLT), Auto Loader, and Unity Catalog.Optimize data processing workflows and perform performance tuning for large-scale datasets.Work with Azure Data Lake Storage (ADLS) and other Azure cloud services for data ingestion and processing.Ensure data quality, governance, security, and compliance across the data platform.Collaborate with business stakeholders, data analysts, and engineering teams to understand business requirements and deliver data solutions.Automate data workflows and monitoring processes to improve operational efficiency.Troubleshoot production issues and provide timely resolutions while maintaining SLAs.Follow best practices in coding, version control, and CI/CD for data engineering projects.Required Skills 610 years of experience in Data Engineering.Strong hands-on experience with Azure Databricks.Expertise in PySpark, Python, and SQL.Experience in Azure Data Factory (ADF).Experience with Azure Data Lake Storage (ADLS).Strong knowledge of ETL/ELT pipeline development.Experience with Delta Lake and modern data warehousing concepts.Hands-on experience with Delta Live Tables (DLT).Experience with Auto Loader.Experience with Unity Catalog.Strong understanding of data modeling.Experience in performance tuning and optimization of data pipelines.Excellent analytical and problem-solving skills.Strong communication and stakeholder management skills. .
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.