Data Engineer (middle)

Our tech stack:

• Languages: Python, SQL, Scala, Go
• Frameworks: Spark, Apache Beam Storage and
• Analytics: BigQuery, GCS, S3, Trino, other GCP and
• AWS stack components Integration: Apache Kafka,
• Google Pub/Sub, Debezium, Zero ETL, Firehose ETL: Airflow2
• Infrastructure: Kubernetes, Terraform Development: GitHub, GitHub Actions, Jira

What tasks remain to be solved:

• Develop the data driven culture within the company
• Develop processes for data processing, storage, cleaning, and enrichment
• Design and maintain data pipelines from collection to consumption
• Develop APIs (REST, gRPC) for high load services
• Create infrastructure for storing and processing large datasets on K8S, Terraform
• Automate testing, validation, and monitoring of data
• Participate in system design and architectural decision making

We expect from the candidate:

• Who we are looking for Expert in Python 3.7+, experience with PySpark Deep knowledge of SQL
• Extensive experience building ETLs with Airflow2 Industrial experience with Kubernetes
• Understanding of data processing principles and algorithms
• Excellent knowledge of OOP, design patterns, clean architecture
• Proactivity, responsibility, and the ability to take ownership
• Would be a plus: Experience with high load services DevOps skills and CI/CD automation experience

We offer:

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Relocation package offered for candidates from other regions (only for Kazakhstan and Cyprus)
• Access to professional counseling services including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment