Job Summary Data Engineer
- Design build and maintain scalable data pipelines and infrastructure.
- Develop optimize and manage data pipelines using Azure Databricks Snowflake and DBT.
- Ensure data accessibility quality and insights across the organization by working with cloud technologies.
- Develop and manage data models within Snowflake for efficient data organization and accessibility.
- Implement data transformations in DBT to standardize data for analysis and reporting.
- Monitor troubleshoot and optimize data workflows and pipeline performance.
- Collaborate with data scientists analysts and stakeholders to support data-driven initiatives.
- Utilize strong SQL skills and data modeling principles in daily tasks.
- Employ MS Azure Snowflake DBT Big Data Hadoop ecosystem components and orchestration tools like Azure Data Factory.
- Apply programming skills in Scala and Python for data lake solutions.
- Understand and implement Hadoop Spark Hive/Databricks frameworks.
- (Desirable) Experience with CI/CD tools such as Jenkins Azure DevOps and GitHub.