Key Requirements:
Strong experience in Data Engineering and Database Administration
Proficiency in SQL, Python, and Apache Spark
Hands-on experience with Azure Data Lake, Synapse Analytics, Data Factory, and Databricks
Understanding of data warehousing and modern data architectures
Knowledge of data security, access control, encryption, and authentication
Experience with Git and CI/CD pipelines
Soft Skills:
Strong analytical and problem-solving skills
Effective communication and teamwork
Ability to manage multiple priorities
Languages: Kazakh, Russian, English (Upper-Intermediate preferred)
Education: Higher technical education in CS, IT, Automation, or related field
Experience: Minimum 5 years of relevant experience