Azure Data Engineer
1 week ago
Role & responsibilities
- Assist in data collection, cleansing, and preparation from various sources.
- Support basic data modelling and documentation efforts.
- Develop and maintain simple data pipelines using tools like Azure Data Factory (ADF).
- Write and optimize queries using SQL.
- Use Python or PySpark scripts to perform data transformations.
- Perform data validation and quality checks to ensure accuracy.
- Collaborate with senior analysts, engineers, and business teams to gather data requirements and support reporting needs.
- Contribute to dashboards, reports, and ad-hoc data analysis as needed.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4 to 8 years of hands-on experience in data analysis, ETL, or data engineering projects.
- Basic to intermediate knowledge of SQL and Python.
- Exposure to Azure Data Factory or any cloud-based data integration tool is a plus.
- Understanding of relational databases (RDBMS) like SQL Server or PostgreSQL.
- Familiarity with version control tools like Git.
- Good analytical and communication skills.
- Willingness to learn and grow in a fast-paced team environment.
Preferred candidate profile
- Exposure to Azure, AWS, or Google Cloud Platform.
- Basic understanding of data modelling and data warehousing concepts.
- Interest in CI/CD and automation practices for data workflows.
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