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Data Engineer
hace 4 semanas
**Key Responsibilities**
- Debug Airflow tasks to ensure smooth and reliable data pipeline operations.
- Write efficient Python code for various data engineering tasks.
- Work with relational databases and maintain a strong understanding of SQL.
- Use Git commands for version control and collaboration on projects.
- Handle deployments and work with Jupyter Notebooks for data analysis and documentation.
**Requirements**:
- Minimum of 2 years of experience as a Data Engineer.
- Familiarity with SQL Server and its functionalities.
- Experience managing AWS services and cloud resources.
- Proficiency with Linux commands and working in a Linux environment.
- Good teamwork skills and experience with Agile tools like Jira or similar.
**Would be a plus**
- Experience with data lakes and data warehouses.
- Familiarity with Docker for containerization.
- Experience with AWS services such as S3, Aurora, and Redshift.
**Why join us?**
- Flexible working hours to maximize the value of your time.
- Supportive and collaborative team environment.
- Fun and informal workplace with a functional organizational structure.
- High-paced environment allowing quick progression from idea to action.
- Opportunities for personal and professional growth; we value a diverse team and encourage individuality.
- Hybrid position, 2-3 days remote per week.
- Lunch and free parking.
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