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Job Title: GCP Data Engineer Experience: 5+ Years Location: Mumbai / Hyderabad / Bengaluru / Pune (Hybrid/Onsite) Employment Type: Full-Time Job Summary We are seeking an experienced GCP Data Engineer with 5+ years of hands-on experience in designing, developing, and maintaining scalable data pipelines and modern data platforms on Google Cloud Platform (GCP). The ideal candidate should have expertise in GCP data services, ETL/ELT development, cloud data warehousing, and SQL/Python programming. Experience with big data technologies and CI/CD practices will be an added advantage. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. Build and optimize batch and real-time data ingestion pipelines. Develop and manage cloud-native data solutions using GCP services. Design data models and implement data warehouse solutions using BigQuery. Perform data cleansing, transformation, validation, and optimization. Integrate data from multiple on-premise and cloud-based data sources. Ensure data quality, governance, security, and compliance standards are met. Monitor and troubleshoot production data pipelines. Optimize SQL queries and improve overall pipeline performance. Collaborate with Data Architects, Data Scientists, Analysts, and business stakeholders. Implement CI/CD pipelines and Infrastructure as Code where applicable. Participate in code reviews and follow Agile development methodologies. Mandatory Skills 5+ years of experience as a Data Engineer. Strong hands-on experience with Google Cloud Platform (GCP). Expertise in BigQuery. Experience with Cloud Storage (GCS). Hands-on experience with Cloud Composer (Apache Airflow). Experience with Dataflow (Apache Beam). Knowledge of Pub/Sub for streaming data pipelines. Experience with Cloud Functions. Strong SQL programming skills. Proficiency in Python. Experience in ETL/ELT development. Experience in data modeling and data warehousing concepts. Hands-on experience with Git and version control. Strong debugging and performance tuning skills. Preferred Skills Experience with Dataproc, Spark, or Hadoop. Knowledge of Kafka or other streaming platforms. Experience with Terraform for Infrastructure as Code. Familiarity with Docker and Kubernetes. Exposure to Looker or Looker Studio. Knowledge of DevOps and CI/CD pipelines. Experience working with REST APIs. Understanding of data governance and security best practices. Required GCP Services BigQuery Cloud Storage (GCS) Dataflow Pub/Sub Cloud Composer (Airflow) Cloud Functions IAM Cloud Monitoring & Logging Secret Manager Cloud Scheduler .
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.