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Join our exciting team as a Data Engineer with the following job scope: Architect and implement data solutions on our large-scale data platform Hadoop using PySpark. Write complex and efficient SQL queries to extract and transform data from various sources. Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka. Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory. Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products. Ensure data quality and integrity across all systems. Monitor, troubleshoot, and optimize the performance of our data infrastructure. Stay up-to-date with the latest trends and technologies in the Big Data space. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum of 5 years of professional experience as a Data Engineer in a Big Data environment. Proven hands-on experience with the Hadoop ecosystem (HDFS, MapReduce, YARN). Expert-level proficiency in SQL and experience with relational and NoSQL databases. Strong programming skills in Python, specifically with the PySpark library and Versioning control systems (git). Extensive experience of workflow management tools, particularly Apache Airflow. Basic knowledge of messaging and streaming platforms, especially Apache Kafka. Hands-on experience with ticket systems (JIRA, Azure Devops). Experience with cloud platforms, preferably Microsoft Azure. Basic skills with business intelligence tools (PowerBI, Tableau). Strong problem-solving skills and the ability to work independently as well as in an intercultural, agile team. Excellent communication skills in English, German skills are a plus. Additional Information Benefits: Company Insurances, Transport Allowance, Flexi Work hours, Car Loan Subsidy, Meal Subsidy, high EPF, etc. Leave Entitlement e.g. Annual Leave, Medical Leave, etc. Work in a fast-growing semiconductor environment Take ownership of impactful task and profit from Career development opportunities Collaborate with global experts across the International Production Network (IPN) Be part of a strong, intercultural team with high team spirit What We Offer: A challenging and rewarding role in a leading global technology company. Opportunities for professional growth and development. A collaborative, innovative, international and intercultural work environment. Competitive salary and benefits package. If you are a passionate Data Engineer looking to make an impact in a fast-paced, data-driven environment, we would love to hear from you. Apply now to join our team!
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.