Data Engineering Role Overview
About the Role
As a senior data engineer, you will be responsible for designing and implementing scalable, high-performance ETL/ELT pipelines using various Google Cloud services.
Our ideal candidate will have hands-on experience with BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub. They should also be familiar with machine learning pipelines (Vertex AI, AI Platform) and have knowledge of batch and streaming processing.
Key Responsibilities:
* Design and implement ETL/ELT pipelines using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer
* Ensure data quality, integrity, and security end-to-end
* Develop and maintain data models aligned with business needs
* Collaborate with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases
* Automate ingestion, transformation, and data delivery processes
* Monitor and optimize cost and performance of GCP resources
* Implement best practices for DataOps and Data Governance
What We Offer
A collaborative and innovative work environment that encourages teamwork and career growth.
Benefits of Working with Us
* Opportunity to work on cutting-edge projects
* Collaborative team environment
* Professional development and career growth opportunities