Senior Data Engineer

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Extract & process data using PySpark + S3 (Kafka/Kinesis — bonus)
- Write & optimize SQL on PostgreSQL/Redshift; use DynamoDB as data source/sink
- Run and debug ETL jobs on Glue or EMR; monitor via console/Spark UI

Requirements:

• Data engineering - 5 years
• AWS - 3 years (1 year latest project)
• Spark/PySpark - 2 years (1 year latest project)

Ask candidates the following questions:

• How do you use AI tools in your work as a data engineer?
• Can you share specific examples where it improved your efficiency or quality of work?
• What’s your experience with ELT & ETL? 

Important: ability to work in high load environments, we're looking for autonomous and proactive candidates