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Data Engineer I
2 months ago
**For this position we prefer to have a candidate that is local to Michigan.
Need someone who understands data modeling, pipelines, orchestration, warehousing, schemas etc., self-starter that doesn't require a lot of training up front or collaboration from a senior data engineer to get them going.
As a Data Engineer, your role involves designing, implementing, monitoring, and maintaining data and analytical solutions both on-premise and on Microsoft Azure.
Data Pipeline Design and Implementation:
- Create and maintain data pipelines that facilitate data movement, transformation, and integration.
- Ensure efficient and reliable data flow from source systems to target destinations.
Data Storage Solutions:
- Design and manage data storage solutions, including:
- Azure Data Lake: Storing large volumes of raw data.
- Azure SQL Database: Providing structured data storage.
- Azure Blob Storage: Handling unstructured data.
- Relational Databases: SingleStore, Microsoft SQL Server, Oracle
Data Processing and Transformation:
- Use tools like Databricks and dbt to process and transform data.
- Leverage Azure Databricks, on-premise solutions, or Data Orchestration tools for running data transformations in production
Data Integration:
- Collaborate with data analysts and scientists to understand data requirements.
- Design effective data workflows that enable data-driven decision-making.
Performance Optimization:
- Optimize SQL queries for better performance.
- Ensure consistency between development and production environments.
Security and Compliance:
- Implement secure and compliant data processing pipelines.
- Use Azure services and frameworks to produce cleansed and enhanced datasets for analysis
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience (~1-3 years) as a Data Engineer or similar role.
- Microsoft Azure, Azure Databricks, and DBT
- Knowledge of data catalog tools (e.g., Microsoft Purview)
- Proficiency in data processing languages, including SQL and Python
- Familiarity with Data Orchestration Tools
- Excellent problem-solving skills and ability to work in a collaborative environment