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We are looking for an experienced Azure Data Engineer & Snowflake Trainer who can deliver practical, industry-oriented training to students and working professionals and provide placement assistance after training. The ideal candidate should have strong hands-on experience with Microsoft Azure, Azure Data Engineering, Snowflake, SQL, ETL/ELT, and data warehousing, along with excellent communication and mentoring skills. The trainer will be responsible not only for delivering technical training but also for helping candidates become job-ready through real-world projects, interview preparation, resume guidance, mock interviews, and placement support. Key ResponsibilitiesTraining & Technical Responsibilities Conduct instructor-led training on Azure Data Engineering and Snowflake. Deliver both theoretical and practical, project-based training. Explain concepts using real-world industry examples and use cases. Create and maintain structured training modules, presentations, assignments, and practical exercises. Provide hands-on sessions using Azure and Snowflake environments. Conduct coding exercises, assessments, tests, and technical evaluations. Guide students through end-to-end data engineering projects. Troubleshoot students' technical issues and provide individual mentoring. Keep training content updated according to current industry requirements. Azure Data Engineering Topics The trainer should be comfortable teaching: Microsoft Azure fundamentals Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Azure Synapse Analytics Azure Databricks Azure SQL Database Azure Storage ETL / ELT pipelines Data ingestion and transformation Batch processing Data integration Data warehousing concepts Performance optimization Monitoring and troubleshooting Security and access management Azure-based end-to-end data engineering projects Snowflake Training Snowflake architecture and fundamentals Databases, schemas, tables, views, and stages Snowflake SQL Data loading and unloading Internal and external stages Snowpipe Streams and Tasks Time Travel Zero-Copy Cloning Data sharing Warehouses and resource management Performance optimization Security and role management ETL/ELT integration with Azure Real-time and batch data pipelines End-to-end Snowflake projects Placement Assistance Responsibilities The trainer will also support the placement team by making candidates job-ready. Responsibilities include: Conduct technical interview preparation sessions. Prepare candidates for Azure Data Engineer and Snowflake interviews. Conduct regular mock interviews. Provide resume and LinkedIn profile guidance. Help candidates explain their projects confidently during interviews. Conduct SQL and coding assessments. Provide interview questions and scenario-based problems. Guide candidates on real-world data engineering scenarios. Coordinate with the placement team regarding candidate readiness. Participate in technical screening/interview rounds when required. Provide feedback on candidates' technical performance. Help candidates improve their communication and technical presentation skills. Support candidates until they are ready to attend relevant job interviews. Compensation: 30,000.00 - 50,000.00 per month Experience: azure data engineer: 5 years (Required) Location: Remote (Preferred) Work Location: Remote .
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.