🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
We are looking for people who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning.Built products in the data analytics space, either frontend/backend/cloud. A passion for shipping high-quality products, interest in the data products space, curiosity about the bigger picture of building a company, product development, people, and product Roles and Responsibilities We are looking for a savvy Data Engineering professional to join the newly formed Data Engineering team We are looking for Big Data specialists who have proven skills on working large scale data systems The hire will be responsible for building and optimizing data pipeline architectures, as well as optimizing data flow and collection for multiple source systems The ideal candidate should be experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up Have got strong ability to build robust and resilient data pipelines which are fault tolerant and reliable in terms of data movement Should have knowledge of experience on batch and stream data processing Create end to end data products and productionize them in cloud/in-house servers Technical Skills Minimum 2-4 years of progressive experience building solutions in Big Data environments Should have solid hands on experience on Big Data technologies like Hadoop, HBase, Hive, Pig, Oozie, MapReduce, Yarn, HDFS, Zookeeper Hands on knowledge of Apache Spark with Java/Scala for batch and stream processing will be highly preferred Knowledge of Apache Kafka will be added advantage but not mandatory Strong hands on capabilities on SQL and NoSQL technologies Should be able to build performant, fault tolerant, scalable solutions Excellent written and verbal communication skills What is in it for you A clear career path with a hybrid of technical track and management track to grow in the company In the technical track, the candidate will be developing sophisticated actuarial and analytics skill Communicating with clients and manage the track, the candidate will develop skills sets in business strategy and build strong tech products You should have Excellent problem solving and analytical skills Fluency in written and communication skills in English Good time-management skills Should be a quick learner with ability to learn new tools/technology quickly Good analytical and problem-solving skills Intellectual and analytical curiosity Expertise in data analytics and providing data driven insights that help in taking business decisions The traits of a self-motivated, independent and detail-oriented team player Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate
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.