1. Ensure and sustain data quality
2. Responsible of initiatives related to building, maintaining and orchestrating all the components in data platform
3. Maintain, expand and improve our ETL processes and computational infrastructure
4. Responsible for provide analytical reports and valuable insights for decision-making
5. Communicate with production/engineering teams and solve business problems.

Requirements：
1. Fluent in Python or similar programming language
2. Experience in data workflow management tools like MySQL, Spark, BigQuery, Airflow, etc.
3. Build effective data pipelines and Restful APIs for Data Analytics and model service
4. Experience in build, maintain and scale efficient data infrastructure, ETL and reporting pipelines
5. Familiar with cloud platform services(GCP|AWS|Azure)
6. Team player, good communication skill and able to work independently.

Bouns Points：
1. Passion for DataOps
2. Experience building/operating highly available, distributed systems of data extraction, ingestion,and processing of large data sets
3. Experience in designing high scalable and available applications(Elasticsearch)
4. Hands-on experience with container orchestration using Kubernetes and Docker
5. Experience in configuring and executing automated tests in CI/CD tools