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

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