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Position: Data Quality Engineer Location: Chennai/Bengaluru, India Job Summary We are seeking a skilled and experienced Data Quality Engineer with a strong background in data engineering, data quality engineering, and expertise in cloud technologies in Azure, GCP or AWS. The ideal candidate will also have exposure to artificial intelligence (AI) concepts and tools. Position: Data Quality Engineer Responsibilities: As a Data Quality Engineer, you will play a crucial role in ensuring the integrity, accuracy, and reliability of our organization's data assets. Your responsibilities will include designing and implementing data quality processes, collaborating with cross-functional teams, and leveraging cloud platforms to optimize data quality and integration. Collaborate with data owners and stakeholders to define and enforce data quality standards. Develop and implement data cleansing strategies to address identified data quality issues. Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues. Work on optimizing data architectures for improved data quality and performance. Utilize cloud platforms like Azure, AWS or GCP to deploy and manage data quality solutions. Leverage cloud services for scalable storage, processing, and analysis of large datasets. Document data quality issues, root causes, and remediation steps. Generate regular reports on data quality metrics and communicate findings to relevant stakeholders. Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data quality requirements and implement effective solutions. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience as a Data Quality Engineer or in a similar role. Strong knowledge of data engineering principles and best practices. Hands-on experience with cloud platforms, especially Azure. Familiarity with AI concepts and tools is preferred. Proficiency in programming languages such as Python, SQL, or Java. Excellent problem-solving and analytical skills. Strong communication and collaboration skill. .
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.