Job Title: GCP Data Engineer (L3)

Experience: 5.5 – 8 Years

Location: Bangalore / Pune / Chennai / Kolkata / Gurugram

Work Mode: Hybrid

CTC: ₹23 LPA – ₹25 LPA

Education: BE / B.Tech (Mandatory)

Note: Candidates from JNTU and Andhra Pradesh colleges are not eligible.

Job Description

We are looking for a highly skilled GCP Data Engineer with solid expertise in designing, developing, and maintaining scalable data pipelines on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience with Big Data technologies, ETL development, and cloud-native data processing frameworks.

Key Responsibilities
- Design, develop, and optimize large-scale data pipelines using GCP services.
- Build and maintain ETL/ELT workflows for processing structured and unstructured data.
- Develop data ingestion solutions using Cloud Pub/Sub, Dataflow, and Dataproc.
- Work extensively with BigQuery for data warehousing, reporting, and analytics.
- Develop and optimize PySpark applications for large-scale data processing.
- Create and manage workflow orchestration using Apache Airflow.




- Ensure data quality, governance, security, and performance optimization across data platforms.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver data-driven solutions.
- Troubleshoot and resolve data pipeline and cloud infrastructure issues.
- Follow best practices for coding, deployment, monitoring, and documentation.

Required Skills

Mandatory Skills
- Google Cloud Platform (GCP)
- Google Cloud Storage (GCS)
- BigQuery
- SQL
- Dataflow
- Dataproc
- PySpark
- Cloud Pub/Sub
- Apache Airflow
- Python
- Spark

Preferred Skills
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of data modeling and data warehousing concepts.
- Familiarity with Git, Jenkins, or similar version control and deployment tools.
- Exposure to monitoring and logging tools within GCP.

Candidate Requirements
- 5.5 to 8 years of overall IT experience.
- Minimum

📌 GCP Data Engineer (India)
🏢 Sparix Global
📍 India