Role Overview
Linkedin is hiring a senior-level Data Engineer - GCP. This is a full-time role in Dindigul. Part of Linkedin's Security hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Position: Senior GCP Data Engineer
Location: Remote
Project Duration: 3+ Months (extendable subject to availability)
Job Overview:
● We are seeking a highly skilled 6-7 Years experienced Senior GCP Data Engineer to design, develop, and optimize scalable, cloud-native data pipelines and AI-ready data platforms on Google
Cloud. The ideal candidate will have strong hands-on experience with GCP services and
modern data engineering practices.
Key Responsibilities:
● Design and build scalable, high-performance data pipelines on Google Cloud
● Develop and maintain batch and real-time (streaming) data processing systems
● Optimize data workflows for performance, reliability, and scalability
● Collaborate with cross-functional teams to support AI/ML data requirements
● Ensure data quality, governance, and security best practices
● Manage and monitor production-grade data pipelines
Required Skills
● Strong hands-on experience with Google Cloud Platform (GCP)
● Expertise in BigQuery, Cloud SQL, Pub/Sub, and Vertex AI
● Proficiency in Python and PySpark for data engineering workloads
● Experience with Dataflow and Dataproc for batch and streaming pipelines
● Hands-on experience with Apache Airflow for workflow orchestration
● Strong understanding of data architecture and pipeline design
● Excellent communication and collaboration skills
Frequently Asked Questions
How do I apply for the Data Engineer - GCP position at Linkedin?
Use the Apply button above to submit your application directly to Linkedin. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer - GCP position at Linkedin located?
This position is based in Dindigul. Linkedin has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Engineer - GCP at Linkedin earn?
Linkedin has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer - GCP role at Linkedin posted?
This role was posted on April 6, 2026 (63 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Data Engineer - GCP role at Linkedin require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Linkedin lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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