Data Engineer

An excellent opportunity to enter the field of Data Science and work in the AI & Big Data team!

This team is responsible for developing advanced analytics and generating insights from data, building Machine Learning and NLP models, extracting text from documents, and developing Big Data processes in a Hadoop environment using Spark and Kafka. The work includes handling data structures such as JSON and Parquet, working with a graph database, and more.

Responsibilities:

• Collaborate closely with Data Scientists to develop pipelines for Machine Learning models in the healthcare domain.
• Perform data modeling and design applications for Big Data projects.
• Develop real-time data processing workflows.
• Conduct basic data analysis.

Requirements:

• Bachelor's degree in Software Engineering or Computer Science – Mandatory.
• At least 4 years of experience in Python and SQL development – Mandatory.
• Minimum of 2 years of experience with HDFS, Hive, Spark, and Kafka – Mandatory.
• Experience with non-relational databases such as Elastic and Neo4J.
• Experience in developing and designing ETL processes – Advantage.