Data Engineer – Python & GCP

Zoho; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Zoho in Chennai is seeking a skilled Data Engineer specializing in Python and GCP to design, build, and maintain scalable data pipelines that drive BI and operational efficiency.

You will work with cloud-native architectures, ETL/ELT processes, and data warehousing to deliver high-quality data solutions and ensure data security across the platform.

Qualifications

• 5.5 to 8 years of professional experience in data engineering roles.
• Advanced expertise in Python programming for data manipulation and automation.
• Strong command of SQL for complex querying and data modeling.
• Proven hands-on experience with Google Cloud Platform (GCP) data services and tools.
• Solid background in data engineering principles, including ETL/ELT processes and data warehousing.

Responsibilities

• Architect and implement robust data ingestion, transformation, and loading workflows using Python and GCP services.
• Develop and optimize SQL queries to extract, manipulate and analyze large datasets efficiently.
• Collaborate with cross-functional teams to define data requirements and deliver high-quality data solutions.
• Monitor data pipeline performance, troubleshoot issues and ensure data integrity and security across the platform.
• Maintain and enhance existing data infrastructure to support growing business needs and scalability.
• Document technical designs, processes, and best practices to ensure knowledge sharing and operational continuity.

Skills

Python

SQL

Data pipelines

Tools

GCP

Job description

Job Description

Job Summary

We are seeking a skilled Data Engineer specializing in Python and Google Cloud Platform (GCP) to join our IT Services division. In this pivotal role, you will design, build, and maintain scalable data pipelines that drive business intelligence and operational efficiency. The position demands a deep understanding of cloud-native data architectures, ensuring seamless data integration and high-performance processing within the GCP ecosystem. This opportunity is ideal for a professional with substantial hands-on experience who is eager to leverage advanced analytics to solve complex data challenges.

Key Responsibilities

• Architect and implement robust data ingestion, transformation, and loading workflows using Python and GCP services.
  


• Develop and optimize SQL queries to extract, manipulate and analyze large datasets efficiently.
  


• Collaborate with cross-functional teams to define data requirements and deliver high-quality data solutions.
  


• Monitor data pipeline performance, troubleshoot issues and ensure data integrity and security across the platform.
  


• Maintain and enhance existing data infrastructure to support growing business needs and scalability.
  


• Document technical designs, processes, and best practices to ensure knowledge sharing and operational continuity.
  

Requirements

• Experience: 5.5 to 8 years of professional experience in data engineering roles.
  


• Technical Proficiency: Advanced expertise in Python programming for data manipulation and automation.
  


• Database Skills: Strong command of SQL for complex querying and data modeling.
  


• Cloud Platform: Proven hands-on experience with Google Cloud Platform (GCP) data services and tools.
  


• Domain Knowledge: Solid background in data engineering principles, including ETL/ELT processes and data warehousing.