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Description We are seeking an experienced GCP Data Engineer with expertise in Databricks to join our dynamic team in India. The ideal candidate will have a robust background in data engineering, capable of designing and building scalable data solutions on Google Cloud Platform. This role requires collaboration with cross-functional teams to deliver high-quality data pipelines and maintain data integrity. Responsibilities Design and implement scalable data pipelines on Google Cloud Platform (GCP) using Databricks. Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. Optimize and maintain existing data workflows and ETL processes for performance and reliability. Develop and manage data models, data architecture, and data governance policies. Monitor and troubleshoot data pipeline issues to ensure data integrity and availability. Create documentation for data systems and processes for future reference and compliance. Skills and Qualifications 10-15 years of experience in data engineering, with a focus on GCP and Databricks. Proficiency in SQL and experience with data modeling techniques. Strong programming skills in Python, Scala, or Java. Experience with big data technologies such as Apache Spark, Apache Kafka, or similar. Knowledge of data warehousing solutions and ETL processes. Familiarity with cloud services (GCP specifically) and data storage solutions (e.g., BigQuery, Cloud Storage). Experience with version control systems like Git and CI/CD pipelines. Strong problem-solving skills and ability to work independently as well as in a team.
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.