Data Engineer
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Summary
Entry-level-friendly data engineer role: build and maintain data pipelines and ETL processes, extracting, cleaning, and loading data using SQL and Python across databases, data warehouses, and cloud platforms. Freshers with relevant data engineering training or certifications are welcome.
- Develop and maintain data pipelines and ETL processes.
- Extract, clean, transform, and load data from different sources.
- Work with databases, data warehouses, and cloud data platforms.
- Monitor data quality and troubleshoot pipeline issues.
- Use SQL and Python for data processing and automation.
- Maintain data-related documentation and reports.
- Work with development and analytics teams to resolve data issues.
- Stay updated on data engineering tools and best practices.
Required Skills
- Basic understanding of Data Engineering and ETL concepts.
- Good knowledge of SQL and databases.
- Basic knowledge of Python.
- Understanding of data warehouses and data pipelines.
- Familiarity with AWS, Azure, or Google Cloud is an added advantage.
- Basic knowledge of Linux and Git is an added advantage.
- Good analytical and problem-solving skills.
- Good communication and teamwork skills.
- Freshers with relevant data engineering training or certifications are welcome to apply.