
Senior Cloud Data Engineer
1 day ago
Cloud Data Engineering Role Overview
We are seeking an experienced data professional to lead the design, development, and deployment of scalable data pipelines and architectures using cloud services.
Key Responsibilities:
- Design, develop, and deploy data pipelines and architectures using cloud services such as Azure Data Factory and Databricks.
- Set up and manage data warehouses in a cloud-based platform, integrating them with other analytics components.
- Ingest data using cloud-based ingestion tools and create pipelines for multi-step data ingestion and transformation tasks.
- Utilize Apache Spark for large-scale data processing and work with Delta Lake tables for advanced data analytics.
Requirements:
- Proficiency in SQL and Python programming languages.
- Experience with Apache Spark for data processing (Python version).
- Understanding of Delta files and Lakehouse architecture.
- Hands-on skills (even gotten only by training) are essential for effectively using cloud-based platforms.
Bonus Points:
- Familiarity with features such as Direct Lake access for reports.
- Knowledge of data visualization tools.
About This Opportunity:
This role offers a dynamic work environment, opportunities for career growth, and a comprehensive benefits package.
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