Data Engineer in the Data Field
İş təsviri və tələblər
Requirements: The candidate should have a higher technical or economic education; a minimum of 2 years of work experience in the relevant field; skills in creating and modeling databases (both relational and non-relational); conceptual knowledge in data analytics; knowledge of ETL/ELT processes and structured as well as unstructured data; experience and knowledge in data science and statistics; experience in managing data engineering processes (implementation, monitoring, support); experience in creating software on distributed computing systems in data analytics; knowledge of Python or Scala; experience in writing complex SQL queries (Oracle PL/SQL knowledge is preferred); experience using real-time streaming technologies (Kafka or Spark Streaming) is preferred; experience in using Big Data tools: Hive, Spark, Hadoop, Presto (preferred); experience using Kubernetes, Docker, or similar technologies (preferred); experience with CI/CD tools (GitHub, Jenkins) is preferred.
Vəzifə öhdəlikləri
Tasks: Design, model, optimize, and provide support services for data warehouses and data marts; collect, transform, and prepare data from various databases and systems (sources) of the bank for use in reporting tools; configure ETL and other data engineering tools and provide support services for them; analyze and solve complex data-related issues in the Big Data ecosystem (preferred); configure virtualization and other data engineering tools and provide support services for them; ensure the integration of data from various databases of the bank into the Big Data environment (preferred).
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