
Advanced Cloud Data Architect
1 day ago
Job Title: Data Engineer
About the Role:We are seeking an experienced Data Engineer to design and implement highly scalable, reliable, and secure data pipelines on GCP. You will work with a team of professionals to deliver high-quality solutions that meet business requirements.
Key Responsibilities:- Design and implement data pipelines on GCP using GCS, BigQuery, and Airflow.
- Develop robust ETL/ELT processes using Python and integrate with data orchestration tools (e.g., Airflow).
- Collaborate with data analysts, data scientists, and stakeholders to understand data requirements.
- Optimize BigQuery performance through 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.
- GCP: In-depth experience with core services like GCS, BigQuery, IAM, and Cloud Functions.
- BigQuery: 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 (e.g., pandas, PySpark), and custom operators in Airflow.
- 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.
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