Data Engineer
4 weeks ago
Responsibilities:
- Design and implement data fabric solutions to unify data across multiple sources and platforms.
- Build and maintain scalable, efficient data pipelines using modern data engineering tools.
- Work with diverse data sources to create integrated datasets that support business analytics and decision-making.
- Leverage cloud platforms to deploy and manage data infrastructure, ensuring performance, scalability, and cost-efficiency.
- Develop and enforce data quality standards and governance practices to ensure data accuracy, consistency, and security.
- Monitor and optimize the performance of data pipelines and data fabric solutions to handle large volumes of data effectively.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 2+ years of experience as a Data Engineer or in a similar role, with a strong focus on cloud-based data solutions.
- Proficiency in Azure data services, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Experience with data fabric platforms and frameworks, as well as modern data engineering tools.
- Strong knowledge of ETL processes and data integration techniques.
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