
Building Large-Scale Data Processing Systems
1 day ago
Cloud Data Engineer
We are seeking a skilled Cloud Data Engineer to join our organization.
As a Cloud Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using Google Cloud Platform (GCP).
Your key responsibilities will include:
- Designing and implementing data pipelines using GCP services such as Bigquery and Dataflow.
- Developing and deploying Big Data applications using GCP Big Data Services.
- Working with RDBMS and NOSQL databases to design and implement data access layers.
- Implementing data solutions using GCP and programming languages such as SQL and Python.
To be successful in this role, you should have:
- 6-12 years of experience in GCP and related technologies.
- Good knowledge of GCP, Bigquery, SQL, and Python dataflow skills.
- Experience in implementation projects building data pipelines, transformation logic, and data models.
- Proficiency in dealing with data access layers, RDBMS, and NOSQL.
Benefits
This is an excellent opportunity to work with big data and cloud technologies. If you're passionate about delivering innovative data solutions, we encourage you to apply.
About the Role
This position involves designing, developing, and maintaining large-scale data processing systems using GCP. You will work closely with the team to deliver high-quality data solutions that meet business requirements.
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