Position Details
About this role
This role involves designing, building, and maintaining scalable data pipelines using Google Cloud Platform tools, with a focus on data extraction, transformation, and loading processes.
Key Responsibilities
- Design and maintain data pipelines
- Optimize ETL processes
- Implement data models in BigQuery
- Monitor and troubleshoot pipelines
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes Google Cloud Platform, BigQuery, Dataflow, Apache Beam, Airflow, and related data engineering tools, emphasizing cloud-based data architecture and pipeline optimization.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years of experience in cloud-based data pipeline development, proficient in Python, SQL, and Google Cloud Platform tools. They should have a strong understanding of data modeling, ETL processes, and cloud data architecture.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Google Cloud Platform, No proficiency in Python or SQL, Less than 3 years of relevant experience, Inability to work remotely
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