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Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 6 to 8 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of Work: Hybrid Salary : 13 lac to 17 lac Notice Period: 15 to 30 Days (M) Databricks Engineer Job Description Responsibilities: Work as part of a global distribution team to design and implement Hadoop big data solutions in alignment with business needs and project schedules. 5+ years of data warehousing/engineering, software solutions design, and development experience. Code, test, and document new or modified data systems to create robust and scalable applications for data analytics. Work with other Big Data developers to make sure that all data solutions are consistent. Partner with the business community to understand requirements, determine training needs, and deliver user training sessions. Perform technology and product research to better define requirements, resolve key issues, and improve the overall capability of the analytics technology stack. Evaluate and provide feedback on future technologies and current releases/upgrades. Support Big Data and batch/real-time analytical solutions leveraging transformational technologies. Work on multiple projects as a technical team member or drive: User requirement analysis and elaboration Design and development of software applications Testing and build automation tools Research and incubate current technologies and frameworks. Experience with agile or other rapid application development methodologies and tools like Bitbucket, Jira, and Confluence. Have built solutions with public cloud providers such as AWS, Azure, or GCP. Expertise Required: Hands-on experience in Databricks stack Data Engineering technologies (Ex: Spark, Hadoop, Kafka, etc.) Proficiency in Streaming technologies Hands-on experie .
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.