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

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

SQL, PL/SQL, GCP BigQuery, Google Cloud Functions, App Engine, Cloud Run, Data Warehousing, Cloud Storage, Performance Optimisation, Security, Scalability, Unit Testing, Documentation, Debugging, Analytical Skills, Problem-Solving

Industry

Telecommunications

Description
Write and debug complex SQL and PL/SQL queries within GCP BigQuery. Build and maintain infrastructure using GCP tools such as 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. Apply best practices for performance optimisation, security, and scalability of cloud applications. Develop unit tests and maintain documentation to ensure code quality and maintainability. Troubleshoot and debug cloud-based applications in production environments. Work on cloud-native development projects. Apply understanding of both SQL and NoSQL database systems and data processing frameworks. Proficient in SQL and PL/SQL, with hands-on experience in GCP BigQuery. Experienced in building cloud infrastructure using GCP services. Skilled in debugging and resolving issues in cloud-based applications. Familiar with data warehousing concepts and large-scale data processing. Strong analytical and problem-solving abilities. Comfortable working in collaborative, cross-functional teams. 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 within GCP BigQuery and build and maintain infrastructure using GCP tools. They will collaborate with data engineers to manage large datasets and apply best practices for performance optimisation, security, and scalability.
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