Python Data Engineer
Join our innovative team at Soul Ai as a Python-based Data Engineer. We are seeking a talented individual to architect and implement robust ETL processes and data pipelines that drive critical business insights.
Key Responsibilities
- Develop, build, and optimize scalable ETL/ELT data pipelines to support data warehousing and analytics needs.
- Seamlessly integrate various APIs and large-scale data ingestion systems, ensuring data availability and integrity.
- Automate complex data workflows and operational tasks using Python and leading cloud platforms.
- Collaborate closely with data science and analytics teams to understand data requirements and deliver high-quality data solutions.
Required Qualifications
- A minimum of 2 years of professional experience in data engineering, with a strong focus on Python development.
- Proficiency with essential data engineering tools and libraries such as Apache Airflow, Pandas, and SQL.
- Hands-on experience with major cloud data services, including AWS, Google Cloud Platform (GCP), or Microsoft Azure.
