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Experience: 3+ yrs
Location: Bengaluru, Karnataka, India, Chennai, Tamil Nadu, India
Job Type: Full-time
We are looking for a skilled GCP Data Engineer to design, develop, and optimize scalable cloud-based data platforms using Google Cloud Platform (GCP). This role is ideal for professionals with strong expertise in Python, PySpark, and modern data engineering practices who are passionate about building reliable, high-performance data pipelines that power analytics, reporting, and machine learning initiatives.
As a GCP Data Engineer, you will collaborate with data architects, analysts, data scientists, and application teams to build robust data solutions that process large volumes of structured and unstructured data. You will play a key role in designing cloud-native data pipelines, optimizing data processing workloads, ensuring data quality, and implementing best practices for scalability, security, and performance.



This position offers the prospect to work with modern cloud technologies while contributing to enterprise-wide data transformation initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for batch and real-time data processing.
Build robust ETL/ELT workflows using Python, PySpark, and cloud-native data processing frameworks.
Develop and optimize data ingestion pipelines from multiple enterprise systems, APIs, databases, and streaming platforms.
Work with BigQuery, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and other GCP services to deliver efficient data solutions.
Transform, cleanse, validate, and enrich large datasets while maintaining high standards of data quality and consistency.
Optimize data processing performance, resource utilization, and cloud infrastructure costs across GCP environments.
Collaborate with data architects, analytics teams, and business stakeholders to understan

📌 GCP Data Engineer (Chennai)
🏢 Weekday AI
📍 Chennai