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Job Description Job Title: Data Engineer Offshore (GCP / Airflow / SQL / Python) Experience: 6 to 9 years Employment Type: Full Time Must Have Tech: GCP, SQL, Python, Airflow Domain: MarTech, Retail Key Responsibilities Design and develop data ingestion, transformation, and orchestration pipelines using GCP (BigQuery, Dataflow, Cloud Composer) and Airflow. Implement and maintain data integrations between AEP and data lake, ensuring high performance and scalability. Build and optimize ETL/ELT workflows to support campaign orchestration, preference logic, and audience segmentation. Implement data quality checks, monitoring, and exception handling frameworks to ensure clean and reliable data. Work closely with Lead DE and SME to translate campaign archetypes into data pipelines and orchestration rules. Support performance tuning, data reconciliation, and defect resolution during testing and hypercare phases. Collaborate with QA team for end-to-end test validation and ensure production readiness. Participate in daily Agile ceremonies, sprint reviews, and deployment planning. Required Technical Skills Strong hands-on experience in GCP services: BigQuery, Dataflow, GCS, Cloud Composer (Airflow). Proficiency in SQL for data profiling, transformation, and performance optimization. Proficiency in Python for pipeline automation, scripting, and orchestration. Experience building batch and streaming data pipelines. Exposure to working with marketing or customer engagement platforms is a plus. Understanding of data quality, logging, monitoring, and alerting best practices. Preferred Skills Experience in Airflow DAG development for complex data pipelines. Familiarity with MarTech platforms such as Adobe Experience Platform or similar ESPs. Knowledge of data modeling for campaign orchestration and audience segmentation. Experience with CI/CD and DevOps principles for data deployments. Strong troubleshooting and performance tuning skills. Soft Skills & Attributes Strong problem-solving skills and attention to detail. Ability to work effectively in a distributed global POD model (onsite + offshore). Proactive communication and ownership mindset. Comfortable working in fast-paced agile environments with tight timelines. Excellent verbal and written communication Bachelors or Masters degree in Computer Science, Information Technology, or a related field. GCP certifications (e.g., Professional Data Engineer) preferred but not mandatory. (ref:hirist.tech) .
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.