Senior Data Engineer / DataOps

• Design, create and maintain data pipelines will be the primary responsibility
• Ensure and sustain data quality
• Maintain, expand and improve our ETL processes and computational infrastructure
• Responsible of initiatives related to building, maintaining and orchestrating all the components in data platform
• Working with different sources of data (internals and externals) to process and transform them for other teams

[Required Qualifications]
- Degree in Computer Science or related technical field
- Experience with data pipeline and workflow management tools
- Familiar with data monitor systems
- Familiar with cloud platform services(GCP, AWS)
- Hands-on experience with container orchestration using Kubernetes and Docker

[Preferred Qualifications]
- Passion for DataOps.
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in configuring and executing automated tests in a continuous integration development environment through Continuous Integration and Continuous Delivery (CI/CD) tools
- Experience with data streaming platforms(Spark, Kafka, etc.)
- Experience in designing high scalable and available applications