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Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com . We are looking for an experienced Senior Data Engineer with strong expertise in Python, Matillion, and Snowflake to design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions. The ideal candidate should have hands-on experience in ETL/ELT development, data modeling, and cloud data engineering while working in an agile environment. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Matillion . Build and optimize data warehouse solutions on Snowflake . Develop robust data processing frameworks and automation scripts using Python . Create and maintain data models, transformations, and workflows to support business analytics. Optimize Snowflake performance, including query tuning, clustering, and warehouse management. Integrate data from multiple structured and unstructured sources. Collaborate with business stakeholders, analysts, and cross-functional engineering teams to deliver high-quality data solutions. Implement data quality, validation, monitoring, and error-handling mechanisms. Participate in code reviews, testing, deployment, and production support activities. Follow best practices for security, governance, and documentation. 4 to 8 years of experience in Data Engineering. Strong hands-on experience with Python , Matillion , and Snowflake . Experience building ETL/ELT pipelines and data integration solutions. Strong SQL skills with experience in query optimization. Good understanding of data warehousing concepts and dimensional data modeling. Experience working with cloud platforms such as AWS , Azure , or GCP . Knowledge of Git, CI/CD pipelines, and Agile methodologies. Strong analytical, troubleshooting, and problem-solving s Experience with orchestration tools such as Airflow. Exposure to DBT is an added advantage. Knowledge of REST APIs and data integration techniques. Familiarity with data governance and security best practices.
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.
