Develop and optimize data pipelines, design and maintain ETL pipelines, manage external data acquisition systems, ensure data accuracy, and support AI team initiatives.
Requirements
- BS/MS in Computer Science or a related technical field.
- Minimum 3-5 years of professional data engineering experience
- Hands-on experience with SQL, Relational databases, MongoDB, and Elastic Search
- Proficient in Python for data processing
- Experience managing IP proxy rotation and automated data ingestion
- Experience with AWS, Linux Server and Apache Airflow is an advantage

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