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We are seeking a highly skilled and detail-oriented Data Quality Engineer (Automation) to join our data engineering team. The ideal candidate will have a solid background in ETL automation, data warehouse testing, and cloud data services, along with hands-on experience in test automation frameworks and CI/CD practices. Responsibilities - Design, develop, and execute automated test scripts for validating ETL workflows and data pipelines - Perform end-to-end data validation, reconciliation, and DWH/DB testing across large datasets - Collaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are met - Develop reusable and scalable test automation frameworks using Python and SQL - Integrate automated tests into CI/CD pipelines to ensure continuous testing and delivery - Validate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP) - Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story grooming Requirements - 3.5+ years of hands-on experience in Data Quality Engineering - Strong hands-on experience in ETL automation and Data Warehouse/Data Lake testing - Proficiency in SQL for data validation and test automation - Valuable knowledge of Python for scripting and framework development - Experience with one or more Test Automation Frameworks - Knowledge of Cloud Data Services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), or GCP (BigQuery) - Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps) - Familiarity with Agile/Scrum methodologies with a proven ability to contribute effectively - English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have - Experience working with data observability or data quality tools (e.g., Great Expectations, Deequ) - Basic understanding of data governance and metadata management concepts - Certification in cloud platforms (Azure/AWS/GCP) Location - Hyderabad, Bangalore, Pune, Chennai, Coimbatore .
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.