Junior 

• Data pipeline maintenance and operation
• ETL development for data warehouse
• Airflow-based transforming data workflow development and operation
• SQL/Python based data processing
• Understanding the Linux environment and writing shell scripts
• DataOps based on AWS/GCP cloud service environment

Senior 

• Data pipeline maintenance and operation
• Processing data to meet functional and non-functional business requirements
• identification, design, implement in internal processes for automatizing manual processes and optimizing data provision
• DW data modeling and ETL design and development
• Real-time streaming data collection and processing development
• Design about GCP/AWS-based data platform environment and architecture 
• K8S (GKE/EKS) Container-based service architecture design and development 
• MLOps architecture design/development and service

• Experience in Data modeling, DW construction and operation 
• Knowledge and experience in intermediate SQL/Python practical
• Experience in ETL pipeline design and development (using SQL, Python)
• Experience in using data pipeline and workflow management tools (Airflow, Apache Beam, etc.)
• Cloud engineering experience in using AWS/GCP cloud services (BigQuery, Dataproc, Dataflow, Composer, DataStore, DynamoDB, SNS, SQS, GKE, EKS, etc.) (BigQuery, Dataproc, Dataflow, Composer, DataStore, DynamoDB, SNS, SQS, GKE, EKS,...)
• Experienced in real-time data processing and application development (Kafka, Storm, Spark Streaming,...)
• Experience in building and providing MLOps services