Data Quality Analyst (qa) Job in Turbolab Technologies Private Limited

Proficiency in Python.

Familiarity with packages such as Numpy, Pandas, Matplotlib and/or Seaborn.

Good understanding of data file formats (CSV, XML, JSON, etc.) and data processing tools (JupyterHub and OpenRefine)

Ability to use basic querying methods (Regex, SQL, and XPath or XQuery)

Basic understanding of web technologies (HTML, JavaScript, CSS, etc.)

Experience in extracting, cleaning, and structuring data from unstructured or semi-structured sources

Good knowledge of databases and ORM tools. Ability to- work independently, prioritize tasks and take initiatives. Ability to document requirements and specifications.

Excellent time-management, multi-tasking, communication and interpersonal skills.

Regularly audit datasets to find out issues and write reports.

Coordinate with the developers to maintain data quality standards.

Do routine inspections of automated QA processes and the resulting data.

Actively participate in improving data quality workflow and be innovative.