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Project Role : Data Engineer Project Role Description : Design develop and maintain data solutions for data generation collection and processing. Create data pipelines ensure data quality and implement ETL (extract transform and load) processes to migrate and deploy data across systems. Must have skills : Google BigQuery Good to have skills : Google Cloud Data Services Microsoft SQL Server Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer your typical day involves designing developing and maintaining robust data solutions that support the generation collection and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure high data quality. Your role includes implementing extract transform and load processes to migrate and deploy data seamlessly across various systems enabling reliable and scalable data infrastructure to support organizational needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions. - Continuously monitor and optimize data pipelines to improve performance and reliability. - Document data processes and workflows to ensure clarity and maintainability. - Support junior team members by sharing knowledge and assisting with technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery Microsoft SQL Server Google Cloud Data Services. - Good To Have Skills: Experience with Microsoft SQL Server Google Cloud Data Services. - Strong knowledge of data modeling and database design principles. - Experience in building scalable and efficient ETL pipelines. - Familiarity with cloud-based data storage and processing platforms. - Ability to troubleshoot and resolve data-related issues effectively. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery. - This position is based at our Gurugram office. Employment Type : Full Time Experience: years Vacancy: 1 .
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.