
Chief Data Solutions Architect
1 day ago
A successful Data Engineer will design and implement robust data pipeline solutions, integrate and transform data from various sources to enable comprehensive analytics and reporting.
They will ensure data quality and integrity by implementing data governance practices, collaborate with teams to understand data requirements, and develop scalable solutions.
Additionally, they will monitor and optimize data processing workflows for performance and reliability, maintain processes and architecture for scalability, and stay updated on new Azure technologies and best practices for data engineering.
Key Requirements
- Bachelor's degree in Computer Science or a related field.
- Minimum of 5 years of experience as a Data Engineer, focusing on Azure Data Lake.
- Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
- Demonstrated experience with data modeling, ETL processes, and data warehousing solutions.
- Strong programming skills in Python, SQL, and familiarity with Java or C#.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
- Strong organizational skills with multiple priorities management and meeting deadlines.
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