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Share your resume over Job Description The Data Engineer will play a key role in designing, developing, and maintaining enterprise-grade ELT/ETL solutions within a Snowflake-based data warehouse environment. The ideal candidate will possess solid SQL expertise, hands-on Snowflake and Informatica experience, and a solid background in ETL/ELT development using contemporary data engineering tools and practices. Responsibilities - Design, develop, and maintain ELT/ETL solutions within Snowflake and related cloud ecosystems. - Produce detailed design specifications, technical documentation, and unit test plans. - Critically analyze business requirements and translate them into robust, scalable data solutions. - Architect and implement data models for data warehouse, data lake, and data hub environments. - Develop and maintain data engineering standards, coding practices, and reusable frameworks. - Work closely with product managers to identify gaps and develop actionable remediation plans. - Partner with business stakeholders and technology teams to implement product and data enhancements. - Adhere to CI/CD processes, source code management practices, and branching strategies (Git). Required Qualifications - Strong proficiency in SQL, ELT/ETL design, and data transformation. - Minimum 4-6 years of ETL/ELT experience using tools such as Informatica, Databricks, Snowflake, and Azure Data Factory. - Minimum 2-4 years of data engineering experience working with enterprise data pipelines. - At least 1-2 years of hands-on Snowflake experience. - 2-4 years working in Agile/Scrum environments. .
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.