Senior Analytics Engineer (Data Usage)
Indrive
| Company | Indrive |
| Category | Engineering |
| Location | Almaty |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (pinpoint) |
Description
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