Data Engineer (Premium Solutions)

Sber is a leading company in the financial sector, providing premium solutions and services.

- Development, optimization, and maintenance of large-scale ETL/ELT pipeline processes on Hadoop and Greenplum for big data processing; - Integration and consolidation of data from multiple internal and external sources, including data streams (Kafka), into a unified storage (Hadoop); - Design and development of corporate data warehouse based on Greenplum and Hadoop: creating data marts for analytics and reporting, optimizing existing tables and queries; - Automation and orchestration of data processing processes; - Ensuring reliability, fault tolerance, and data quality in operational environments: performance monitoring, identifying bottlenecks and resolving them; - Interaction with business and IT teams to clarify data requirements and collaboratively implement projects.

- At least 2 years of experience as a Data Engineer (or similar role); - Proficient in SQL: writing complex queries, performance optimization, understanding database design principles and data warehouse organization; - Practical application of Big Data technologies: Hadoop (HDFS, YARN), Apache Spark (writing and running jobs), as well as storage/processing systems like Hive, Impala, or Greenplum; - Experience using orchestration systems and task schedulers (Apache Airflow, Oozie, or similar) for building ETL/ELT processes; - Knowledge of containerization and cloud orchestration tools (Docker, Kubernetes) and experience with streaming data (Kafka or similar platforms); - Understanding of distributed computing principles, high-load systems, and processing large volumes of data; - English language proficiency sufficient for reading technical literature and documentation.

Sber (formerly Sberbank of Russia) is the largest bank in Russia and Central and Eastern Europe, providing commercial and retail banking services including corporate loans, asset management, online banking, and financial services to institutions.