Responsibilities

• 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 highload 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

Qualifications

• Expert in Python 3.7+,
• Experience with PySpark Deep knowledge of SQL
• Extensive experience building ETLs with Air flow 2
• Industrial experience with Kubernetes
• Understanding of data processing principles and algorithms
• Excellent knowledge of OOP, design patterns, clean architecture
• Productivity, responsibility, and the ability to take ownership
• Would be a plus: Experience with highload services DevOps skills and CI/CD automation experience If you’re interested in working with big data, complex challenges, and cutting edge technologies, we’d love to meet you!

Conditions & Benefits

• 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

Our tech stack:

• Languages: Python, SQL
• Frameworks: Spark, Apache Flink
• Storage and analytics: BigQuery, GCS, S3, Trino, other GCP and AWS tools
• Components Integration: Apache Kafka, Google Pub/Sub, Debezium
• ETL Orchestration: Airflow 2
• Infrastructure: Kubernetes, Terraform
• Development: GitHub, GitHub Actions, Jira