
Cloud Data Engineer Position
1 week ago
We are seeking a highly skilled Cloud Data Engineer to design, build, and maintain large-scale data processing systems on Google Cloud Platform.
As a key member of our team, you will work closely with cross-functional teams to ensure that data is accessible, reliable, and optimized for analytics and machine learning initiatives.
You will be responsible for designing and developing efficient ETL/ELT pipelines using tools like Cloud Dataflow and Apache Beam. You will also implement real-time data streaming solutions using Cloud Pub/Sub or Apache Kafka.
In addition, you will manage storage solutions such as BigQuery and Cloud Storage, and design efficient data models and schemas for structured and unstructured data.
Your expertise in integrating data from multiple sources into unified data lakes or warehouses will be invaluable in helping us achieve our goals.
We are looking for someone who can monitor and troubleshoot data pipelines, optimize workflows for scalability, performance, and cost-efficiency, and implement data governance policies.
A strong understanding of data warehousing, data modeling, and ETL processes is essential for this role.
The ideal candidate will have proficiency in Python, SQL, and optionally Java or Scala, and experience with GCP services such as BigQuery, Cloud Dataflow, and Cloud Storage.
Required Skills and Qualifications
- Proficiency in Python, SQL, and optionally Java or Scala.
- Experience with GCP services: BigQuery, Cloud Dataflow, Cloud Storage, etc.
- Strong understanding of data warehousing, data modeling, and ETL processes.
- Familiarity with real-time data processing and streaming architectures.
Benefits
This role offers a competitive salary and benefits package, including opportunities for professional growth and development.
Join Our Team
We are committed to fostering a collaborative and inclusive work environment where everyone feels valued and empowered to contribute their best work.
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