Job description
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.
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.
This job post has been translated by AI and may contain minor differences or errors.
