About Wenrix

Wenrix is the next generation of airfare optimization.

We are a young and fast-growing startup in the fields of fintech for travel companies.

Our AI-driven smart prediction technology helps our customers generate new revenue streams from their air volume. By using our products, we can ensure that tickets are issued at the best possible time and at the best price

What Will You Do?

Become a part of our growing R&D team and define and build the infrastructure and products that will enable us to push our state-of-the-art airfare optimization products

• Work on hyper-growing production volume
• Build and design our products infrastructure
• Analyze and improve the performance, scalability, and stability of our wide range of system components
• Lead the architecture and development of mission-critical, diverse, and large-scale data pipelines
• Collaborate with Data Scientists, Data Analysts, Product Managers, and Business Partners to frame problems within the business and product context

What You Bring

• 5+ years of knowledge in data engineering or database development
• Practical experience building large-scale data pipelines
• Proficient with Python
• Fluent with SQL
• End-to-end experience - owning features from an idea stage to production
• Familiarity with the data engineering tech stack: ETL and ELT tools, Airflow, Spark, Kafka,SQS, RDS, Athena, etc.
• Working with a cloud environment (AWS is an advantage)
• Experience with MLOps, ML production model long-term monitoring (Advantage)
• Experience in algorithm design and implementation or Machine learning (Advantage)

Tech stack: Python, Kubernetes, AWS (S3, Athena, EKS, Kinesis, Glue, SageMaker, etc.), Snowflake, DBT, Spark, Postgres, Datadog, Grafana, MLflow