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About the Role We are looking for experienced GCP Data Engineers with strong hands-on expertise in DBT, Apache Airflow and BigQuery. The candidate will be responsible for designing and developing scalable data pipelines and cloud-based data solutions. Key Responsibilities Design, develop and maintain scalable data pipelines on GCP. Build and optimize ETL/ELT workflows. Develop data transformation models using DBT. Build and maintain workflow orchestration using Apache Airflow. Develop and optimize analytical solutions using Google BigQuery. Write complex SQL queries for data extraction and transformation. Perform data cleansing, transformation and validation. Develop reusable and maintainable data transformation processes. Optimize data pipelines and queries for performance and scalability. Integrate data from multiple source systems. Monitor pipeline execution and troubleshoot failures. Implement data quality and validation checks. Collaborate with business and technical stakeholders to understand requirements. Participate in development, testing, deployment and production support. Maintain technical documentation for pipelines, transformations and data models. Required Technical Skills Google Cloud Platform (GCP) Google BigQuery DBT Apache Airflow SQL ETL/ELT Data Pipeline Development Data Transformation Data Warehousing Good to Have Python GCS Dataflow Dataproc Cloud Composer Pub/Sub Git / CI/CD Candidate Profile 510 years of Data Engineering experience. Strong hands-on experience with GCP. Strong experience with BigQuery, DBT and Airflow. Strong SQL and data engineering fundamentals. Experience building production-grade data pipelines. Strong analytical and troubleshooting skills. Education Bachelor's degree in Engineering, Computer Science, IT or related discipline preferred. .
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.