Position Summary:We are seeking a highly skilled Data Infrastructure Engineer to design, build, and maintain the scalable data infrastructure that powers our business intelligence and other data-driven operations. As a key member of our Infrastructure team, you will work closely with data scientists, data analysts, SRE, and other engineers to ensure seamless data integration and delivery.Responsibilities:Design, implement, and manage high-performance data pipelines and data architectures, ensuring efficient data flow and processing.Develop, test, and optimize ETL (Extract, Transform, Load) processes to support data warehouse solutions and maintain data integrity.Collaborate with cross-functional teams to understand and address data infrastructure needs, supporting self-service analytics and other data services.Monitor and troubleshoot data infrastructure for performance, security, and reliability.Implement best practices for data governance, data quality, and data security across the data lifecycle.Stay up-to-date with emerging trends and technologies in data engineering and infrastructure to continually improve and innovate.Enable robust development environments, both in the cloud and on-premises, to support data analysis, data processing, and training deep learning models.Requirements:Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree is preferred.Proven experience as a Data Infrastructure Engineer, Infrastructure Engineer, Data Engineer, MLOps Engineer, or a similar role.Strong proficiency in SQL and experience with relational databases such as PostgreSQL, ClickHouse, or others.Hands-on experience with big data technologies such as Hadoop, Spark, and Kafka.Knowledge of ETL tools and processes, e.g., Airflow.Proficient in programming languages such as Python, Java, or Scala.Expertise in containerization and orchestration technologies, including Kubernetes and Docker.Experience in setting up, maintaining, integrating, and customizing open-source data tools, e.g., Airflow, JupyterHub, Coder, Open Metadata.Understanding of data governance and data security best practices.Excellent problem-solving skills and a proactive approach to dealing with technical challenges.Strong communication and collaboration skills, with the ability to work effectively in a team environment.Benefits:Flexible working hours.A dynamic work environment with a culture that is open, innovative, and performance-oriented.Supplementary health insurance.Various on-site entertainment options.Competitive salary package.