This role is for one of Weekday’s clients
Salary range: Rs 1200000 - Rs 1900000 (ie INR 12 - 19 LPA)

Min Experience: 7+ years
Location: Bengaluru
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

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Develop robust data processing solutions using Python and leverage NumPy for efficient numerical and analytical computations.
• Integrate data from multiple internal and external sources into centralized data platforms.
• Optimize data storage, transformation, and retrieval processes for performance and cost efficiency.
• Ensure high standards of data quality, consistency, security, and governance across data workflows.
• Monitor, troubleshoot, and enhance existing data pipelines to improve reliability and scalability.
• Work closely with data scientists and analytics teams to provide clean, well-structured datasets for reporting and machine learning applications.
• Implement automated testing, logging, monitoring, and documentation for data engineering processes.
• Collaborate with DevOps and cloud teams to support deployment, CI/CD, and infrastructure automation.
• Participate in architectural discussions and recommend best practices for cloud-based data solutions.
• Stay updated with emerging GCP services and data engineering technologies to continuously improve platform capabilities.

Required Skills

• 7–8 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Google Cloud Platform (GCP) services for data engineering.
• Advanced programming skills in Python with experience building data processing applications.
• Good understanding of NumPy for numerical computing and efficient data manipulation.
• Experience designing and maintaining scalable ETL/ELT pipelines.
• Strong knowledge of SQL and database optimization techniques.
• Familiarity with cloud-based data warehousing and distributed data processing concepts.
• Understanding of data modeling, data integration, and data governance principles.
• Experience with version control systems such as Git.
• Knowledge of CI/CD practices and cloud deployment methodologies.
• Strong analytical, debugging, and problem-solving abilities.
• Excellent communication and collaboration skills.

Good-to-Have Skills

• Google Cloud Platform (GCP)
• Python
• NumPy
• Experience working with large-scale cloud data platforms.
• Exposure to data analytics and machine learning workflows.
• Knowledge of workflow orchestration and automation tools.
• Familiarity with Agile/Scrum development methodologies.