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Job Description
Skills and Experience:
- Degree in Data Analytics/Computer Science or equivalent work experience
- 3 years plus experience as an Azure Data Engineer or in a similar data engineering role using Microsoft Azure Cloud (Data Factory, Azure Functions, Databricks, etc.).
- Practical Experience to Azure Fabric (Ideally DP-700 certified)
- Proven experience in building and optimising big data pipelines and architectures
- Strong analytical skills, especially in working with unstructured data
- Proficient in designing and implementing well-written code
- Experience with data pipeline testing, from source to presentation layer including troubleshooting skills
Key Responsibilities:
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
- Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data.
