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Job Description Position: Big Data + GCP Engineer (GKE & FastAPI) Location : Gurgaon Experience Required: 6+ Years Work Model: Fulltime - Hybrid3 days/week from the client office in Gurgaon Job Summary We are looking for an energetic, high-performing, and highly skilled Big Data + GCP Engineer with strong expertise in Google Cloud Platform (GCP), Big Data technologies, GKE, and FastAPI. The ideal candidate should have hands-on experience in designing, developing, and deploying scalable cloud-native applications using Java, PySpark, and modern data engineering technologies. The candidate must possess solid experience in Big Data processing, cloud infrastructure, containerized deployments, API development, and database optimization. Exposure to Kubernetes-based deployments and modern microservices architecture is highly preferred. Key Responsibilities Design, develop, and deploy scalable applications on Google Cloud Platform (GCP). Develop robust and high-performance data processing pipelines using PySpark and Big Data technologies. Build and maintain RESTful APIs and microservices using FastAPI. Work with large-scale distributed data processing frameworks such as Spark, Hive, MapReduce, and HBase. Deploy and manage containerized applications using Google Kubernetes Engine (GKE). Develop cloud-native solutions using GCP services such as Compute Engine, App Engine, Cloud Functions, BigQuery, Cloud SQL, Dataproc, and Dataflow. Optimize database queries, indexing strategies, and overall application performance. Collaborate with cross-functional teams including data engineering, DevOps, and application development teams. Perform troubleshooting, debugging, and root cause analysis for production issues. Create reusable components, automation scripts, and deployment pipelines. Ensure best practices in scalability, security, reliability, and maintainability. Mandatory Skills 6+ years of overall IT experience. Strong hands-on experience with Google Cloud Platform (GCP). Strong programming expertise in Java 8+ and PySpark. Hands-on experience in Big Data technologies: Apache Spark Hive MapReduce HBase Strong experience with FastAPI development. Hands-on experience with Google Kubernetes Engine (GKE). Strong understanding of distributed data processing and cloud architecture. Experience with GCP services: Compute Engine App Engine Cloud Functions BigQuery Cloud SQL Dataproc Dataflow Experience in UNIX, Shell scripting, Python, or Perl scripting. Strong knowledge of relational databases such as PostgreSQL, MySQL, or DB2. Experience in query optimization and database indexing. Good understanding of CI/CD and containerization concepts. Strong analytical, problem-solving, and debugging skills. Educational Qualification Bachelors or Masters degree in Computer Science, Information Technology, or related field. .
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.