
Unlocking Business Insights: A Data Engineering Opportunity
2 days ago
This is a challenging role for an experienced Data Engineer who can design and implement robust, scalable data platforms using Azure services.
As a Data Engineer, you will be responsible for building and maintaining high-quality data pipelines that deliver raw data into analytics-ready assets. You will work with a variety of Azure services to ensure a secure, efficient data environment.
- Key Responsibilities:
- Design and develop robust data pipelines to ingest, transform, and load data from various sources into the Azure data platform.
- Develop and implement conceptual, logical, and physical data models for data warehouses and data lakes.
- Manage data storage and organization within Azure Data Lake Storage Gen2, ensuring proper folder structures, security, and data lifecycle management for raw, processed, and curated data zones.
- Utilize tools like dbt (data build tool) within the Azure ecosystem to transform raw data into analytics-ready datasets.
- Integrate and work with a variety of Azure services, including Azure Synapse Analytics, Azure Databricks, Azure Functions, and Cosmos DB, to build a comprehensive data solution.
- Implement and optimize Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to ensure data is moved efficiently and accurately.
- Implement and maintain data security best practices, applying Role-Based Access Control (RBAC), managed identities, and Azure Key Vault to protect sensitive data.
Requirements:
- 4+ years of proven experience with key Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
- Strong proficiency in SQL and at least one programming language such as Python or Spark (PySpark, Scala).
- Solid understanding of data warehousing principles, data modeling (dimensional modeling, etc.), and ETL/ELT concepts.
- CI/CD: Experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.
- Ability to work effectively with cross-functional teams to understand requirements and deliver data solutions.
We are an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status, or other legally protected class.
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