Average salary: Rs800,000 /yearly
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- ...Quality Engineer Description We're looking for a QA Engineer to work on web applications that will be used by tens of millions of... ...analysis and feature grooming, designing and developing thorough test-cases and test scenarios. • Create and maintain automated tests...SuggestedFull time
$ 475 p.a.
...Our newest product offers insights on software companies and is growing rapidly. We are seeking a Financial Analyst [Internal Title: Data QA Specialist] to join our Data Product team in India to manage a large portion of the data cleaning and quality assurance processes for...SuggestedFull timeWork at officeRemote job- ...teams to define, design, and ship new features. Write clean, scalable, and efficient code following best practices. Conduct unit testing and debugging to ensure high-quality software deliverables. Participate in code reviews to maintain code quality and ensure...SuggestedFull time
- Job Description :- Conduct business workshops and gather master data governance requirements.- Design and implement governance processes for Material, Customer, Supplier, Business Partner, and Financial master data.- Configure SAP MDG data models, workflows, change requests,...Suggested
- ...Rapidly integrate emerging frameworks like LangChain, LlamaIndex, and Hugging Face into production workflows. Implement automated testing, model monitoring, and "golden datasets" to ensure reliability and safety. Experience Required ~8+ years of hands-on experience...SuggestedFull time
- We are looking for a skilled GCP & Big Data Engineer with strong expertise in cloud data platforms and large-scale data processing. The ideal candidate will design, build, and optimise scalable data pipelines using Google Cloud services and Big Data technologies, ensuring efficient...Suggested
- Role : Data Engineer (PySpark, SQL, GCP)Experience : 6+ YearsLocations : Indore , Raipur , Gurgaon , BangaloreJob Description :We are looking for experienced Data Engineers to build and optimise scalable data pipelines and data models using modern data engineering practices....SuggestedHybrid work