Middle BigData Engineer to $2300

Description of the project:

We are looking for a Middle 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.

Your qualification:

• 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, Hadoop, etc.
• 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.

We are delighted to provide you with the following benefits:

• Opportunities for growth and development within the project
• Flexible working hours
• Option to work remotely or from the office