Azure Data Engineer
Posted Updated
Summary
Design and implement Azure data pipelines and storage using Data Factory, Synapse, Databricks, Stream Analytics and ETL/ELT, optimizing performance and data quality while working in Agile teams with clients. Requires 5+ years of data engineering experience with strong Azure expertise.
About The Role
Role Scope
- Design and implement data pipelines using Azure technologies such as Azure Data Factory, CDC, Azure Stream Analytics, and Azure Synapse
- Optimize data pipelines for performance and scalability using Azure Databricks
- Optimize data storage and data quality
- Use of ETL/ELT technology (Extract, Transform, Load)
- Work in the team following Agile practices
- Work in close cooperation with client teams to find the best solutions
- Support exploration and sales of new market trends to ensure growth with interesting projects that leverage the latest technologies
Requirements for the Role
- Bachelors degree in Computer Science or related field
- At least 5 years of experience as a data engineer with strong expertise in azure
- Proficiency in Azure, ADLS, ADF and Synapse analytics
- Hands-on experience with Agile software development
- Good problem-solving skills
Basic Tech Skills
- Microsoft Azure Synapse
- Azure Data Factory
- Azure Data Lake
- Azure Databricks
- Power BI
- Tableau
- Python, SQL