Gcp Data Engineer-Immediate Joiner-Bangalore

Tata Elxsi; Bengaluru; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Tata Elxsi in Bengaluru is seeking a Data Engineer with 3–5 years of experience to design, build, and optimize data pipelines in a Google Cloud Platform environment.

You will ensure reliability and quality of data for analytics and operations, collaborate with analysts, and implement IaC with Terraform and CI/CD for data workflows.

The role focuses on scalable data infrastructure, data quality, and partnering with cross-functional teams to deliver robust data solutions.

Qualifications

• 3–5 years of professional experience as a Data Engineer or similar data-focused role.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Responsibilities

• Design, build, and optimize data pipelines and infrastructure in GCP.
• Ensure data reliability, scalability, and quality for analytics and operations.
• Develop and maintain API integrations for data ingestion and delivery.
• Collaborate with data analysts and scientists to meet data requirements.
• Document data workflows and infrastructure.

Skills

Analytical thinking

Problem solving

Communication skills

Collaboration

Tools

BigQuery

Cloud Storage

Dataform

Terraform

Cloud Run Functions

Workflows

Git

APIs

Job description

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

efficient 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.

3. Key qualifications

• 3–5 years of professional experience as a Data Engineer or in a similar data-focused role.


• Strong analytical and problem-solving skills.


• Excellent communication and collaboration abilities.

3. Preferred skills

• Experience with CI/CD pipelines for data engineering workflows.


• Familiarity with data governance and obser