Efficiently migrate databases to advanced environments, ensuring data integrity
Develop and implement high-capacity databases, optimizing data models for enhanced performance
Ensure the highest level of data security, executing stringent measures to protect sensitive information
Perform comprehensive unit and integration testing to sustain the accuracy and dependability of the data model
Streamline and optimize ETL processes for improved data integration and seamless workflows
Job Requirements:
Bachelor s/Master s degree in Computer Science or a related field, or an equivalent experiential background
4+ years as a Data Engineer or related roles with a focus on Python development
Expertise in Python programming and a solid foundation in SQL, encompassing DDL (Data Definition Language), DML (Data Manipulation Language), and DCL (Data Control Language), as well as familiarity with RDBMS (Relational Database Management Systems)
Familiarity with Machine Learning toolkits such as NumPy and Pandas
Strong experience with machine learning algorithms
Experience with MySQL, Postgres, or similar database systems is a valuable addition
Familiarity with the Linux operating environment and basic command-line utilities (e.g., ls, cat, cp, mv, etc.) is desirable
Fluent English communication skills are essential for effective teamwork and interaction with engineering and managerial personnel