Responsibilities
- Design, develop, and maintain scalable data solutions and pipelines
- Work with large datasets for data transformation and analytics
- Support advanced analytics and data-driven decision-making
- Collaborate with technical and non-technical teams
- Ensure secure and efficient data operations
- Optimize database and cloud-based data processes
Requirements
- Minimum 5 years of experience in Data Engineering and DBA
- Strong knowledge of SQL, Python, and Apache Spark
- Experience with Azure Data Lake, Synapse, Data Factory, and Databricks
- Understanding of data warehousing and modern data architecture
- Knowledge of data security, Git, and CI/CD pipelines
- Strong analytical, communication, and problem-solving skills
- Higher education in Computer Science, IT, Automation Engineering, or related field
- Languages: Kazakh, Russian, English (Upper-Intermediate preferred)