Data Quality Engineer

Bachelors or Masters Degree in IT, Computer Science, Engineering, or any related course.

At least 3 years of experience in data engineering, data analytics, orrelated fields.

Proficiency in Python and Java, with experience in other programming languages as a plus.

Hands-on experience with data manipulation tools (e.g., pandas, dplyr, or Spark).

Proficiency in Extract, Transform, and Load (ETL) processes for efficient data pipeline management.

Expertise in both SQL and NoSQL query languages for database interaction and management.

Experience with big data storage and processing solutions, such as MongoDB, Spark, Hive, Snowflake, Redshift, or similar technologies.

Experience with cloud-based or server-based data processing environments (e.g., AWS, Azure, GCP).