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Data engineer - gcp

Confidential
Full Timesenior
Posted April 7, 2026

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PythonSQLGCPApacheSparkAirflow

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Job Description

Position: Senior GCP Data Engineer

Location: Remote

Project Duration: 3+ Months (extendable subject to availability)

Job Overview

● We are seeking a highly skilled 6-7 Years experienced Senior GCP Data Engineer to design, develop, and optimize scalable, cloud-native data pipelines and AI-ready data platforms on Google

Cloud. The ideal candidate will have strong hands-on experience with GCP services and modern data engineering practices.

Key Responsibilities

● Design and build scalable, high-performance data pipelines on Google Cloud

● Develop and maintain batch and real-time (streaming) data processing systems

● Optimize data workflows for performance, reliability, and scalability

● Collaborate with cross-functional teams to support AI/ML data requirements

● Ensure data quality, governance, and security best practices

● Manage and monitor production-grade data pipelines

Required Skills

● Strong hands-on experience with Google Cloud Platform (GCP)

● Expertise in Big Query, Cloud SQL, Pub/Sub, and Vertex AI

● Proficiency in Python and Py Spark for data engineering workloads

● Experience with Dataflow and Dataproc for batch and streaming pipelines

● Hands-on experience with Apache Airflow for workflow orchestration

● Strong understanding of data architecture and pipeline design

● Excellent communication and collaboration skills

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