Quick Summary
Overview
We are currently actively building a Data Warehouse a key part of the product. We work with cutting edge technologies (GCP, AWS, Airflow, Kafka, K8s) and make infrastructure and architectural decisions based on data.
Technical Tools
airflowawsbigquerygcpgithub-actionsjirakafkakubernetespythonmachine-learning
We are currently actively building a Data Warehouse a key part of the product. We work with cutting edge technologies (GCP, AWS, Airflow, Kafka, K8s) and make infrastructure and architectural decisions based on data. We are building a large scale data infrastructure for analytics, machine learning, and realtime recommendations.
Our tech stack
Languages: Python, SQL
Frameworks: Spark, Apache Beam
Storage and analytics: BigQuery, GCS, S3, Trio, other GCP and AWS stack
components Integration: Apache Kafka, Google Pub/Sub, Debezium
ETL: Airflow 2
Infrastructure: Kubernetes, Terraform
Development: GitHub, GitHub Actions, Jira
Our tech stack
Languages: Python, SQL
Frameworks: Spark, Apache Beam
Storage and analytics: BigQuery, GCS, S3, Trio, other GCP and AWS stack
components Integration: Apache Kafka, Google Pub/Sub, Debezium
ETL: Airflow 2
Infrastructure: Kubernetes, Terraform
Development: GitHub, GitHub Actions, Jira
Location & Eligibility
Where is the job
Almaty, Kazakhstan
Hybrid — some on-site time required
Who can apply
KZ
Listing Details
- First seen
- May 6, 2026
- Last seen
- June 11, 2026
Posting Health
- Days active
- 36
- Repost count
- 0
- Trust Level
- 16%
- Scored at
- June 11, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application · ~5 min on indrive's site
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