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Position - Data Engineer What you will be doing Design and development of real time software and Cloud/Web/mobile based software application. Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement. Perform software testing including unit, functional and system level requirement including manual and automated Perform code review following coding guidelines and static code analysis troubleshoots software problems of limited difficulty. Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. Develop software solutions from established programming languages or by learning new language required for specific project. What Are We Looking For Experience: 4 to 8 years in software/data engineering. Data Technologies: Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions. Programming Languages: Proficiency in Python is a must. Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP. Visualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Data Governance: Knowledge of data governance and security practices. CI/CD: Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes). Communication Skills: Excellent verbal and written communication skills in English. Agile Methodologies: Experience working in Agile development environments. AI/ML Awareness: Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications.0 Generative AI Awareness: Familiarity with Generative AI technologies and their potential use cases.
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.