# GCP Data Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-06-29

**Salary:** INR 1,200,000–1,900,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## 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.

## 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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/6E75969307/apply)

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