BigData Engineer

We are looking for a Big Data Engineer to join a large-scale telecommunications project. This role involves designing and implementing robust data processing systems, building data warehouses, and working with modern big data tools and technologies. 

Requirements:

• 2+ years of experience in Big Data engineering. 
• Solid knowledge and practical experience with OLAP technologies. 
• Strong SQL skills and experience with schema design.
•  Proficiency in Java or Python for process automation. 
• Experience with NoSQL databases such as HBase, Elasticsearch;
• Familiarity with Redis or MongoDB is a plus. 
• Hands-on experience with Vertica or other DBMS suitable for large-scale data analysis. 
• Understanding of distributed systems, such as Spark and Hadoop. 
• Experience working with Kafka or other message broker systems.
• Familiarity with data governance tools and data science/analytics workbenches. 
• Experience with Ezmeral Data Fabric is a plus.
• Knowledge of UNIX and experience in Shell scripting for automation tasks. 
• Technical English proficiency (reading and understanding documentation). 

Responsibilities: 

• Design and implement data extraction, processing, and transformation pipelines based on MPP architecture. 
• Build and maintain data warehouses and OLAP-based systems. 
• Design database schemas and develop dimensional data models.
• Work with distributed systems and clusters for big data processing.