- Design and develop scalable data pipelines using Google Cloud Dataflow, BigQuery, and Pub/Sub.
- Collaborate with cross-functional teams to identify business requirements and design solutions.
- Develop and maintain large-scale data architectures on Google Cloud Platform.
- Ensure high availability and performance of data systems and applications.
- Troubleshoot and resolve complex technical issues related to data engineering.
- Implement data security and access controls to ensure compliance with organizational standards.
Job Requirements
- Strong understanding of data modeling, data warehousing, and ETL processes.
- Experience with Google Cloud Platform services such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
- Proficiency in programming languages such as Java, Python, or Scala.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team setting.
- Strong communication and interpersonal skills.