
Data Engineering Specialist
2 days ago
Role Overview: We are seeking an experienced Data Engineering Specialist to join our team. The ideal candidate will have a strong background in designing and developing scalable data pipelines using cloud-based technologies such as Azure Databricks and Pyspark.
Key Responsibilities:
- Develop and implement efficient data processing solutions utilizing dimensional data models and data warehouses.
- Collaborate with cross-functional teams to design and deploy data warehousing and business intelligence solutions.
- Ensure data quality, security, and compliance with regulatory requirements by implementing robust ETL processes and data validation techniques.
- Stay up-to-date with the latest developments in cloud-based data engineering and analytics to drive innovation and improve operational efficiency.
Requirements:
- 3-12 years of experience in data engineering with a focus on cloud-based platforms.
- Hands-on experience with Python scripting and ETL methods, including knowledge of relational databases and data access methods especially SQL.
- Strong understanding of cloud architecture and design principles, particularly Azure.
- Experience with data factory tools such as ADF (Azure Data Factory) is highly desirable.
Preferred Qualifications:
- Expert-level knowledge of data engineering principles and practices.
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