Build, and maintain scalable data pipelines and architectures to process large volumes of data efficiently.

Implement and manage relational databases and relational database management systems (RDBMS) using Python, SQL and other languages.

Engage in data wrangling and cleaning processes to ensure data quality and consistency.

Conduct code reviews and adhere to coding standards to maintain the quality and integrity of data engineering solutions.

Collaborate with cross-functional teams to identify data requirements and implement appropriate data solutions.

Mentor junior engineers and provide guidance on best practices in data engineering.

2 years experience. 

SOLID and DRY Programming principles - The ability to plan, execute, and evaluate code for compliance with industry best prac...