
Data Platform Architect
1 day ago
We are seeking a skilled Data Engineer to build and maintain robust, scalable data platforms. The successful candidate will work with a variety of Azure services to deliver raw data into analytics-ready assets and support a secure, efficient data environment.
- Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources into the data platform.
- Data Modeling and Warehousing: Develop and implement conceptual, logical, and physical data models for data warehouses and data lakes.
- Data Lake Management: Manage data storage and organization within Azure Data Lake Storage Gen2.
- Data Transformation: Utilize tools like dbt (data build tool) within the Azure ecosystem to transform raw data into analytics-ready datasets.
- Azure Service Integration: Integrate and work with a variety of Azure services to build a comprehensive data solution.
The ideal candidate will have:
- 4+ years of proven experience with key Azure data services.
- Strong proficiency in SQL and at least one programming language such as Python or Spark.
- Solid understanding of data warehousing principles, data modeling, and ETL/ELT concepts.
- CI/CD: Experience with version control systems like Git and Continuous Integration/Continuous Deployment practices using Azure DevOps.
- Ability to work effectively with cross-functional teams.
Benefits
This role offers excellent opportunities for professional growth and development. Our team is dedicated to delivering high-quality, reliable data solutions.
We are an equal opportunity employer.
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