GCP Data Engineer (6+ Years Experience)

Location : Pune-Hybrid

Experience : 6+ Years

Job Summary :

We are seeking a highly skilled GCP Data Engineer with strong expertise in designing, building, and optimizing large-scale cloud-native data platforms on Google Cloud Platform (GCP).

The ideal candidate will have hands-on experience with Dataflow, Dataproc, Pub/Sub, BigQuery, and Cloud Spanner, along with a strong understanding of data engineering best practices, real-time data processing, and distributed systems.

Key Responsibilities :

- Design, develop, and support scalable batch and real-time data pipelines on GCP.

- Build and maintain data ingestion and transformation solutions using Dataflow, Dataproc, and Pub/Sub.

- Design and optimize analytical data models in BigQuery for reporting, analytics, and AI/ML workloads.

- Implement high-performance, globally scalable solutions using Cloud Spanner.

- Develop data integration frameworks for structured and unstructured data sources.

- Optimize data processing performance, scalability, reliability, and cost efficiency.

- Collaborate with architects, data scientists, business stakeholders, and DevOps teams to deliver enterprise data solutions.

- Implement CI/CD, monitoring, security, and governance best practices for cloud data platforms.

- Troubleshoot production issues and provide ongoing support for critical data pipelines.

Required Skills :

- 6+ years of overall IT experience with 5+ years in GCP Data Engineering.

- Strong hands-on experience with :

1. Google Cloud Dataflow

2. Google Cloud Dataproc

3. Google Cloud Pub/Sub

4. BigQuery

5. Cloud Spanner

- Strong knowledge of Python, Java, or Scala.

- Experience with Apache Spark, ETL/ELT frameworks, and distributed data processing.

- Strong understanding of data warehousing, data modeling, and cloud architecture.

- Experience with DevOps, CI/CD, Infrastructure as Code, and monitoring tools.

- Excellent communication and stakeholder management skills.

Preferred Qualifications :

- GCP Professional Data Engineer Certification.

- Experience with Kafka, Airflow/Composer, Terraform, and Kubernetes.

- Exposure to AI/ML data pipelines and modern data lakehouse architectures.

Location : Preferably Pune

Work Model : Preference for candidates who are willing to work 3 days from Intraedge Pune Office