
Cloud Data Architect
17 hours ago
Job Overview:
- We are seeking a seasoned Big Data Engineer to join our team.
- The ideal candidate will have a proven track record of designing and building scalable data pipelines using Google Cloud.
Responsibilities:
- Design and develop complex data pipelines for large volumes of structured and unstructured data.
- Collaborate with stakeholders to identify opportunities for data acquisition and translate business needs into technical requirements.
- Develop and maintain data acquisition pipelines using Google Cloud services such as Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage.
- Implement security measures to protect data in Big Query using IAM roles & Policy Tags, partition/clustering, and authorized views.
- Apply DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.
Requirements:
- 5+ years of experience in big data engineering and cloud computing.
- Proficiency in programming languages such as Python and Java.
- Experience with Google Cloud services including Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage.
- Strong understanding of data security and compliance regulations.
- Excellent communication and collaboration skills.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
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