Responsibilities 
• Collect, clean, and process data from various SQL data sources, ensuring accuracy, completeness, 
and consistency. 
• Perform data validation and quality checks to identify and resolve anomalies, errors, and 
inconsistencies in data sets. 
• Develop and maintain data management systems, including data dictionaries, metadata 
repositories, and data documentation. 
• Plan, deploy and maintain data pipelines and ETL (Extract, Transform, Load) processes 
(Python/NodeJS) on Linux based servers to move and transform data from various source 
databases (MySQL/PostgreSQL) into the target systems. 
• Design and develop data architectures, databases, and data processing systems to support the 
collection, storage, and retrieval of structured and unstructured data. 
• Conduct data profiling, analysis, and validation to identify data anomalies, patterns, and trends, 
providing insights for business decision...