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Role: Senior Data Engineer with Snowflake Location: New York, NY Key Skills: Snowflake, SQL, Python, Azure, ADF, DBT, CI/CD, Agile, API, Gen AI Experience: 10+ years Mode of Hire: Full Time Skills Required 10-12 years of hands-on experience in data engineering with strong coding skills. Proven expertise in: DBT, Python, Azure Data Factory (ADF), SQL, DBT, Snowflake. Expert in SQL and Python for developing and debugging scalable data pipelines. Experience with job schedulers and Azure Function Apps for automation. Familiarity with Gen AI tools (e.g., Cortex AI, GitHub Copilot) for accelerating development. Design and optimize API integration in pipelines. Advanced understanding of dimensional modeling and data warehousing concepts. Strong understanding of Git version control, CI/CD pipelines, DevSecOps, and Agile methodologies. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and stakeholder management skills. Responsibilities Architect and implement scalable data pipelines and ETL workflows using ADF, DBT, and Python. Design and optimize data models for Snowflake and other cloud-based data platforms. Develop and maintain complex data transformation logic using SQL, DBT, Python, Snowpark, Snowsight web interface. Integrate job schedulers with Azure Data Factory pipelines and Azure Function Apps for orchestration and automation. Apply Gen AI tools (GitHub Copilot Agent Skills, Snowflake Cortex AI) to accelerate development, improve code quality, and enhance productivity. Ensure robust data governance, security, and compliance across all solutions. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Mentor junior engineers and provide technical leadership in data engineering best practices. Participate in Scrum ceremonies and contribute to continuous improvement initiatives through strong ownership and collaboration.
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.