J

GCP Data Engineer - Senior Consultant

Jobgether • India
Remote
This Job is No Longer Active This position is no longer accepting applications

Jobgether is seeking a GCP Data Engineer - Senior Consultant to design and deliver scalable, cloud-based data ecosystems on Google Cloud Platform for enterprise clients. The role involves close collaboration with clients and cross-functional teams to understand requirements, design robust data architectures, and implement high-performance data pipelines. The successful candidate will work on large-scale data modeling, optimization, and troubleshooting across distributed cloud environments.

Key Highlights
Design and deliver scalable data ecosystems on Google Cloud Platform
Collaborate with clients and cross-functional teams to understand requirements
Implement high-performance data pipelines and troubleshoot complex data issues
Key Responsibilities
Design, build, and maintain scalable data pipelines and end-to-end data ecosystems on Google Cloud Platform
Develop and optimize data architectures using services such as BigQuery, Cloud Storage, and Cloud Functions
Gather, analyze, and document business and technical requirements in close collaboration with clients and stakeholders
Technical Skills Required
BigQuery Cloud Storage Cloud Functions Apache Airflow Python SQL Git Jira Confluence
Benefits & Perks
100% remote work with flexible working hours
Stable employment with a well-established global organization
Access to continuous learning platforms including Udemy and certification programs
Nice to Have
Spark
Databricks
BI platforms

Job Description

This role sits at the core of designing and delivering scalable, cloud-based data ecosystems on Google Cloud Platform for enterprise clients. You will be responsible for building end-to-end data solutions that support analytics, business intelligence, and advanced data processing use cases. The position involves close collaboration with clients and cross-functional teams to understand requirements, design robust data architectures, and implement high-performance data pipelines. You will work on large-scale data modeling, optimization, and troubleshooting across distributed cloud environments. The role also emphasizes continuous improvement of data platforms, ensuring efficiency, scalability, and reliability. In addition, you will mentor junior engineers and contribute to technical leadership within global delivery teams.
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