Data engineer GCP; Fulltime fortune

Position: Data engineer GCP (Fulltime with fortune 500 company)
Job Title:

GCP Big Data Engineer

Locations:
Bangalore | Gurugram | Pune | Chennai | Hyderabad

Work Mode:
Hybrid

Experience:

6 – 12 Years

Employment Type:

Full-time

About the Role

We are seeking an experienced GCP Big Data Engineer with strong expertise in Google Cloud Platform data services and modern big data technologies. The ideal candidate will have deep hands-on experience in building scalable, enterprise-grade data pipelines across GCP environments.

This is a high-impact role where you will contribute to designing, developing, and optimizing cloud-based data solutions in a collaborative and fast-paced environment.

✅ Must Have Skills

- Google Cloud Platform (GCP)
- Big Query
- Dataflow
- Dataproc
- Cloud Composer (Airflow)
- Py Spark
- SQL
- Python

⭐ Good to Have

- Apache Kafka
- Git
- Jenkins
- CI/CD Pipelines
- Hadoop
- Hive

Key Responsibilities

- Architect and implement scalable data pipelines on GCP
- Develop and optimize ETL/ELT processes using Dataflow & Dataproc
- Work extensively with Big Query for analytics and performance tuning
- Implement workflow orchestration using Cloud Composer (Airflow)
- Build distributed data processing solutions using Spark / Py Spark
- Collaborate with stakeholders to translate business requirements into technical solutions
- Ensure best practices in Dev Ops, CI/CD, and performance optimization

Qualifications

- 6–12 years of overall IT experience
- Strong hands-on experience in GCP data stack
- Expertise in Big Data technologies (Spark, Hadoop, Hive)
- Advanced SQL and Python proficiency
- Experience in CI/CD and version control
- GCP Professional Data Engineer Certification (Preferred)