GCP Data Engineer

This role is for one of Weekday’s clients
\n Salary range: Rs - Rs (ie INR 12 - 19 LPA)

Min Experience: 7+ years
\n Location: Bengaluru
\n JobType: full-time

We are seeking an experienced GCP Data Engineer with 7–8 years of hands-on experience in designing, developing, and optimizing cloud-based data solutions. The ideal candidate should possess strong expertise in Google Cloud Platform (GCP) , Python , and NumPy , with the ability to build scalable, secure, and high-performance data pipelines. You will collaborate with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders to deliver reliable data platforms that support analytics, reporting, and machine learning initiatives.

This role requires a strong understanding of modern data engineering practices, cloud-native technologies, and data processing frameworks. You should be passionate about solving complex data challenges while ensuring data quality, governance, and operational excellence.

Requirements

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• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
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• Build and optimize ETL/ELT workflows for structured and unstructured data.
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• Develop robust data processing solutions using Python and leverage NumPy for efficient numerical and analytical computations.
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• Integrate data from multiple internal and external sources into centralized data platforms.
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• Optimize data storage, transformation, and retrieval processes for performance and cost efficiency.
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• Ensure high standards of data quality, consistency, security, and governance across data workflows.
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• Monitor, troubleshoot, and enhance existing data pipelines to improve reliability and scalability.
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• Work closely with data scientists and analytics teams to provide clean, well-structured datasets for reporting and machine learning applications.
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• Implement automated testing, logging, monitoring, and documentation for data engineering processes.
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• Collaborate with DevOps and cloud teams to support deployment, CI/CD, and infrastructure automation.
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• Participate in architectural discussions and recommend best practices for cloud-based data solutions.
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• Stay updated with emerging GCP services and data engineering technologies to continuously improve platform capabilities.
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• 7–8 years of experience in Data Engineering or related roles.
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• Strong hands-on experience with Google Cloud Platform (GCP) services for data engineering.
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• Advanced programming skills in Python with experience building data processing applications.
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• Good understanding of NumPy for numerical computing and efficient data manipulation.
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• Experience designing and maintaining scalable ETL/ELT pipelines.
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• Strong knowledge of SQL and database optimization techniques.
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• Familiarity with cloud-based data warehousing and distributed data processing concepts.
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• Understanding of data modeling, data integration, and data governance principles.
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• Experience with version control systems such as Git.
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• Knowledge of CI/CD practices and cloud deployment methodologies.
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• Strong analytical, debugging, and problem-solving abilities.
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• Excellent communication and collaboration skills.
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• Google Cloud Platform (GCP)
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• Python
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• NumPy
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• Experience working with large-scale cloud data platforms.
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• Exposure to data analytics and machine learning workflows.
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• Knowledge of workflow orchestration and automation tools.
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• Familiarity with Agile/Scrum development methodologies.
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