Back-End Engineer

• Create, test, keep up with, and enhance backend services like the model prediction service
• Help with the setup of data pipelines and back-end services' development and testing environments
• Create, test, maintain, and optimize data pipelines utilizing Spark, SQL/Big Query, ETL development, and Airflow data orchestration
• Debug and resolve problems in development, test, or production systems
• Occasionally, assistance is needed with metrics development, model training in a notebook, and data analysis using SQL

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant experience as a back-end engineer
• Knowledge of Python and SQL
• Familiarity with ETL, data ingestion, Airflow, and Kubernetes is nice to have
• Some experience with development flow on cloud like AWS
• Prior experience in back-end development and/or data engineering
• Experience in code development and deployment with Github and Docker
• Extensive experience with frameworks and tools like Spark, Thrift, BigQuery, Kafka, and Tensorflow
• Strong knowledge of Java, Scala, SQL, and Go
• Some experience with Machine learning, database system, and ads engineering background
• Excellent communication and collaboration skills
• Proficiency in English