Key Responsibilities and Accountabilities:

We are seeking a skilled Data Engineer with 35 years of experience to join our team. He/she will be responsible for designing,

building, and optimizing data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. His/her work will ensure data

reliability, scalability, and quality, supporting the organizations analytics and operational needs.
Design, develop, and maintain robust and scalable data pipelines using GCP services, including BigQuery, Cloud Storage,

Dataform, Cloud Run Functions and Workflows.
Implement and manage infrastructure as code using Terraform for automated provisioning and management of data

infrastructure.
Optimize performance of data warehouses and pipelines through partitioning, clustering, and other best practices to ensure

productive data processing and query performance.
Monitor and maintain the health of the data infrastructure, proactively identifying and resolving issues to ensure high

data reliability and uptime.




Troubleshoot and resolve data-related issues, ensuring data quality and consistency across systems.
Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver high

quality data solutions.
Ensure data reliability, scalability, and quality through robust validation, testing, and monitoring processes.
Manage version control and code collaboration using Git.
Develop and maintain API integrations for data ingestion and delivery.
Document technical solutions and maintain up-to-date records of data workflows and infrastructure.
Key qualifications
3–5 years of qualified experience as a Data Engineer or in a similar data-focused role.
Solid analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Preferred skills
Experience with CI/CD pipelines for data engineering workflows.
Familiarity with data governance and obser

📌 Gcp Data Engineer Immediate Joiner Bangalore Bengaluru (India)
🏢 Tata Elxsi
📍 India