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Tech stack requirements : Spark, Scala, SQL, AWS, Kafka Data Engineer 3 What you'll do - Partners with the business to have a transparent understanding of how own technology stack is tied to business outcomes and our bottom line. - Successfully conducts day-to-day work and solves complex issues in own specific technical engineering area. - Advocates efforts to remove tech roadblocks for their team for long term success. - Possesses knowledge of features and facilities for integration, and communication among applications, databases and technology platforms to bring together different components and form a fully functional solution to a business problem. - Has proven ability, experience and advanced knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. - Creatively tests and maintains software applications and related programs and procedures by using a variety of software development tools following design requirements of customer. Justifies technology choices to both technical and non-technical observers. Who you are: 5-7 years software development experience in an enterprise level engineering environment demonstrating increasing levels of technical leadership 5+ years hands-on big data engineering experience with excellent understanding of delivering BI and AI projects Experience architecting, developing, and successfully delivering complex, large-scale systems Fluent in one or more of the following languages: Python, Java, Scala and AWS or equivalent cloud technology Worked in at least in 2 multi-quarter data engineering projects. Worked in decentralized teams and projects. Formally mentored at least 3 individual contributors. Built high-performance scalable data products. Drove technical design end to end of at least 3 data engineering projects. .
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.