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Job Description About the role Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We're Great Place to Work-Certified. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. About the role: Experience in data profiling, data analysis, or data quality roles Comfort with SQL - ability to write and validate queries independently Familiarity with Python or any scripting language for test automation Strong attention to detail and structured thinking Ability to read and interpret data in business context - not just technical context Good communication skills - able to translate data findings into clear, non-technical language Experience with JIRA or similar tools for task and defect tracking Exposure to AI or LLM-based applications Experience with ontology, knowledge graphs, or semantic data concepts Familiarity with AWS services - Redshift, S3, SageMaker Background in pharmaceutical or enterprise IT data domains Job Requirement Required Qualifications Experience in data profiling, data analysis, or data quality roles Comfort with SQL - ability to write and validate queries independently Familiarity with Python or any scripting language for test automation Strong attention to detail and structured thinking Ability to read and interpret data in business context - not just technical context Good communication skills - able to translate data findings into clear, non-technical language Experience with JIRA or similar tools for task and defect tracking Exposure to AI or LLM-based applications Experience with ontology, knowledge graphs, or semantic data concepts Familiarity with AWS services - Redshift, S3, SageMaker Background in pharmaceutical or enterprise IT data domains .
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.