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The opportunity

We are seeking an experienced GCP Data Engineer with solid technology and data understanding in GCP engineering space, having proven delivery capability. The candidate will be responsible for building, maintaining, and optimizing data pipelines and data platforms on Google Cloud (Big Query). The role will focus on data ingestion, transformation, orchestration, automation, and analytics enablement for enterprise-scale solutions.

Your Technical responsibilities:
- Design and develop scalable ETL/ELT pipelines on GCP
- Build and maintain data ingestion and transformation frameworks using BigQuery and GCP services
- Develop Cloud Functions and automation scripts for data movement and processing




- Create and maintain workflows using Cloud Composer/Airflow
- Implement data reconciliation, validation, and data quality controls
- Troubleshoot pipeline failures and performance issues using monitoring and logging tools
- Support migration of on-premises or legacy workloads to GCP
- Create dashboards, reports, and analytics solutions for business users
- Collaborate with business, architecture, and development teams to deliver data-driven solutions.
- Use Data flow or STS to build pipeline from traditional and cloud source to GCP.
- Good understanding of cloud design considerations and FinOps
- Proficient in a modern scripting language like Python, Spark and Scala.
- Work with container technology such as Docker, version control systems (Github), build management and CI/CD tools (Concourse, Jenkins)
- Data Pipeline Workflows: Build and maintain data pipelines using tools and services like Dataflow, Dataproc,

📌 EY - GDS Consulting - AI And DATA - GCP - Senior (Mumbai)
🏢 EY Studio+ Nederland
📍 Mumbai