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Data Engineer I

2 months ago

Jackson, United States EPITEC Full time

**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