Data Engineer Python And GCP

Vrinda International; Chennai District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Vrinda International in Chennai seeks a Data Engineer specialized in Python and Google Cloud to design, build, and maintain scalable data pipelines that drive BI and operational efficiency.

You will collaborate with cross-functional teams, implement ETL/ELT on GCP, optimize SQL, monitor pipelines, and ensure data security and integrity across the platform.

Qualifications

• 5.5 to 8 years of professional data engineering experience.
• Advanced Python programming for data manipulation and automation.
• Strong SQL querying and data modeling skills.
• Hands-on experience with Google Cloud Platform data services.
• Background in ETL/ELT 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 programming

SQL

Data engineering

ETL/ELT

Data warehousing

Tools

GCP data services

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

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.
  

Requirements: