
Master Data Architect
2 weeks ago
Job Description:
We are seeking a Data Engineer to develop and maintain large-scale data pipelines for structured and unstructured data, utilizing Google Cloud technologies such as Python, Data Flow, and BigQuery.
The ideal candidate will create complex datasets based on business requirements, leveraging tools like DataStream, CDC, and Pub Sub.
Designing and building ingestion pipelines using Rest API, ensuring reliable and scalable data processing is key to this role.
Utilizing logs and alerts to monitor pipelines, and implementing DevOps practices with GitHub and Terraform is crucial.
Collaborating with stakeholders to identify opportunities for data acquisition and translating business needs into technical requirements is essential.
Securing data access using IAM roles and Policy Tags, and designing a JSON messaging structure for integrating applications is also vital.
Analyzing data quality, reliability, and efficiency, recommending improvements is a key responsibility of the role.
Requirements:
- Junior Data Engineer: 2-3 years of experience in GCP data engineering role
- Senior Data Engineer: 4+ years of experience in GCP data engineering role
- At least 1 year of hands-on experience in GCP tools (Python, SQL, etc.)
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