Senior Cloud Engineer

Vivantify Technology Solutions India Pvt. Ltd.; Coimbatore District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Vivantify Technology Solutions India Pvt. Ltd. is seeking a Google Cloud Data Engineer to design, develop, and maintain scalable cloud-based data platforms and ETL/ELT pipelines.

The role requires strong hands-on expertise in GCP, BigQuery, Python, and SQL, plus experience in data engineering, cloud security, and production support. You will design scalable batch and streaming pipelines using Python, BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Composer/Airflow, and Dataform,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• Hands-on experience with GCP, BigQuery, Python, and SQL in data platforms.
• Experience with CI/CD and cloud security is a plus.

Responsibilities

• Design and implement scalable ETL/ELT data pipelines on GCP.
• Develop batch and streaming data ingestion frameworks.
• Build dimensional data models and optimize BigQuery performance and cost.
• Work with Dataflow, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and Cloud Scheduler.
• Implement CI/CD, source control, testing, monitoring, and data quality practices.
• Support cloud security, IAM, governance, and metadata management.
• Troubleshoot production issues and perform performance tuning.
• Collaborate with architects, analysts, and business stakeholders.

Skills

GCP

BigQuery

Python

SQL

Data engineering

ETL/ELT development

Cloud Storage

Dataflow

Cloud Functions

Cloud Composer

Dataform

Pub/Sub

Cloud Scheduler

Data warehousing

Dimensional modeling

CI/CD

Git/Bitbucket

Cloud security

IAM

Jira

Agile/Scrum

Testing

Monitoring

Education

Bachelor's degree

Tools

Git

Bitbucket

Job description

About The Role

Location: Pan India

Experience: 3–5 Years

We are looking for a Google Cloud Data Engineer to design, develop, and maintain scalable cloud-based data platforms and ETL/ELT pipelines. The role requires strong hands‑on expertise in GCP, BigQuery, Python, and SQL, along with experience in data engineering, cloud security, and production support.

Job Description

The role involves developing scalable batch and streaming data pipelines using Python, BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Composer/Airflow, and Dataform. You will build data ingestion frameworks, dimensional data models, and solutions optimized for BigQuery performance and cost.

You will also contribute to CI/CD, source control, testing, monitoring, data quality, security, IAM, governance, and metadata management. The position requires close collaboration with architects, analysts, and business stakeholders, along with troubleshooting and performance tuning of production data solutions.

Key Responsibilities

• Design and implement scalable ETL/ELT data pipelines on GCP
• Develop batch and streaming data ingestion frameworks
• Build dimensional data models and optimize BigQuery performance and cost
• Work with GCP services including Dataflow, Cloud Storage, Cloud Functions, Cloud Composer/Airflow, Dataform, Pub/Sub, and Cloud Scheduler
• Implement CI/CD, source control, testing, monitoring, and data quality practices
• Support cloud security, IAM, governance, and metadata management
• Troubleshoot production issues and perform performance tuning
• Collaborate with architects, analysts, and business stakeholders

Required Skills

• Google Cloud Platform (GCP)
• BigQuery
• Python
• SQL
• Data engineering and ETL/ELT development
• Cloud Storage and Dataflow
• Cloud Functions and Cloud Composer/Airflow
• Dataform, Cloud Pub/Sub, and Cloud Scheduler
• Data warehousing and dimensional modeling
• CI/CD and source control using Git/Bitbucket
• Cloud security and IAM
• Jira and Agile/Scrum methodologies
• Testing, monitoring, and data quality

Mandatory Skills

• GCP BigQuery
• Python

Candidate Profile

The ideal candidate should have strong data engineering experience with hands‑on expertise in GCP, BigQuery, Python, and SQL. A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is required, along with experience in cloud-based data platforms, data warehousing, CI/CD, and cloud security.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients