Junior Data Engineer for the analytics infrastructure team. Support for a LakeHouse architecture-based data platform, monitoring and optimization of data processing processes.

Tasks:

• Actively participate in the team chat: track requests, respond promptly to questions and tasks during working hours
• Monitor systems and resolve emerging incidents together with on-duty data engineers
• Optimize current data processing processes
• Modernize the current data platform together with the Core data engineering team

Requirements:

• Data Engineer experience of 1 year or more
• Knowledge of Python and SQL (mandatory)
• Understanding of ETL/ELT processes and experience with tools
• Understanding of distributed computing
• Experience with Apache Spark, Apache Airflow, DBT, Trino stack will be a plus
• Independence, responsibility, ability to communicate with different teams
• Desire to develop and build processes

Conditions:

• Work from anywhere in the world, paid in dollars
• No bureaucracy: convenient processes, horizontal communication
• Compensation for VHI, psychotherapy or foreign languages, sports, and sick leave
• Opportunity to work in Phuket

Skills:

• Python
• SQL
• Apache Spark
• Apache Airflow
• DBT
• Trino
• AWS S3
• DeltaLake
• Kafka
• Airbyte
• DataHub
• Jenkins
• Terraform
• Kubernetes
• EKS