
Cloud Data Engineer
9 hours ago
Job Title: Cloud Data Engineer
- We are seeking an experienced Cloud Data Engineer to design, build, and optimize scalable data pipelines and architectures on Google Cloud Platform.
The ideal candidate has hands-on experience with Google Cloud Storage (GCS), BigQuery (BQ), Apache Airflow, and Python programming language.
Key Responsibilities:
- Design and implement highly scalable, reliable, and secure data pipelines on GCP using GCS, BigQuery, and Airflow.
- Develop robust ETL/ELT processes using Python and integrate with data orchestration tools like Airflow.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Optimize BigQuery performance through efficient schema design, partitioning, clustering, and query optimization.
- Manage and maintain data lake and data warehouse environments ensuring data integrity and availability.
- Automate and monitor data pipelines to ensure consistent and reliable data delivery.
- Contribute to architecture decisions and ensure adherence to data governance and security standards.
- Mentor junior engineers and promote best practices in data engineering and cloud usage.
Must-Have Skills:
- Google Cloud Platform (GCP): In-depth experience with core services like GCS, BigQuery, IAM, and Cloud Functions.
- BigQuery (BQ): Expertise in data modeling, performance tuning, and large-scale analytics.
- Google Cloud Storage (GCS): Strong understanding of data storage, access patterns, and integration.
- Apache Airflow: Experience in authoring and managing DAGs for complex workflows.
- Python: Proficient in scripting and automation, including working with APIs, data processing libraries like pandas and PySpark.
Preferred Qualifications:
- Experience with CI/CD pipelines for data workflows.
- Exposure to Dataflow, Pub/Sub, or other GCP data services.
- Familiarity with Terraform or Infrastructure as Code (IaC) on GCP.
- Strong problem-solving and communication skills.
- GCP certifications are a plus.
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