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Job Title: Snowflake Engineer (Cortex & AI Capabilities) Location: India (Remote) Experience: 7+ Years Job Summary We are looking for an experienced Snowflake Engineer with strong expertise in Snowflake data platform and Snowflake Cortex (AI/ML capabilities). The ideal candidate will play a key role in building scalable data solutions, enabling advanced analytics, and leveraging AI-driven insights within the Snowflake ecosystem. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake Implement and optimize data models (Star/Snowflake schema) for analytics and reporting Work with Snowflake Cortex to build AI/ML-powered data solutions and intelligent applications Develop and manage ELT/ETL processes using tools like dbt, Airflow, or similar Optimize Snowflake performance, cost, and query efficiency Integrate Snowflake with various data sources (APIs, streaming, structured/unstructured data) Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions Ensure data governance, security, and compliance best practices Troubleshoot and resolve data-related issues in a timely manner Required Skills & Experience 7+ years of experience in data engineering or related roles Strong hands-on experience with Snowflake (architecture, data modeling, performance tuning) Experience working with Snowflake Cortex / AI features (LLMs, semantic search, etc.) Proficiency in SQL and Python Experience with ETL/ELT tools like dbt, Informatica, Airflow, or similar Good understanding of cloud platforms (AWS / Azure / GCP) Experience with data warehousing concepts and big data technologies Familiarity with REST APIs and data integration techniques Good to Have Experience with Snowpark (Python/Scala/Java) Knowledge of Generative AI use cases within data platforms Exposure to data governance tools and frameworks Experience with real-time/streaming data pipelines (Kafka, etc.) Snowflake certifications .
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.