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Cloud Data Engineer at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, PL/SQL, GCP BigQuery, Google Cloud Functions, App Engine, Cloud Run, Cloud Storage, Data Processing Frameworks, Debugging, Problem Solving, Cloud Infrastructure, Unit Testing, Documentation, Cloud-Native Development, NoSQL

Industry

Telecommunications

Description

Write and debug complex SQL and PL/SQL queries in GCP BigQuery. Build and maintain GCP-based infrastructure using Google Cloud Functions, App Engine, and Cloud Run. Collaborate with data engineers to process and manage large datasets using GCP services including BigQuery and Cloud Storage. Ensure best practices for performance, security, and scalability of cloud applications. Develop unit tests and maintain documentation to ensure code quality and maintainability. Troubleshoot and debug cloud-based applications and services in production environments. Apply cloud-native development principles across projects. Work with both SQL and NoSQL database systems and data processing frameworks. Experienced professional with 7-10 years in SQL, PL/SQL, and cloud-based development. Proficient in GCP BigQuery and Datafusion. Skilled in building and maintaining GCP infrastructure. Strong analytical, debugging, and problem-solving capabilities. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

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Responsibilities

The Cloud Data Engineer will write and debug complex SQL and PL/SQL queries in GCP BigQuery and build and maintain GCP-based infrastructure. They will collaborate with data engineers to manage large datasets and ensure best practices for performance, security, and scalability.