Data Engineer role at Softeta, designing, implementing, and improving data systems, architectures, and pipelines, with expertise in SQL, Python, Apache Airflow, and cloud platforms.
Requirements
- Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
- Build and optimize data architectures for performance, scalability, and reliability
- Develop and maintain ETL/ELT pipelines using modern tools and frameworks
- Good understanding and working knowledge of DWH (Sybase/Oracle) and RDBMS (MS SQL)
- Proven experience with SQL and Python; Other ETL engines are a plus
- Demonstrated expertise in Apache Airflow is an advantage
- Good understanding and expertise in Data warehouse management and concepts
- Exposure to utilize the AI technologies for better productivity
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Diverse and technically challenging projects
Benefits
- Flexible working hours
- Hybrid or remote workplace model
- Flexible schedule
- Agile/SCRUM environment
- Technical equipment which you can choose

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