Education:

Experience:

Junior: Fresh graduates are welcome. Must have completed a final project, internship, or training related to programming.
Middle: Minimum 3 years of experience as a Data Engineer or in an equivalent role in a similar industry.
Senior: Minimum 5 years of experience as a Data Engineer or in an equivalent role with significant responsibilities and project ownership.

Industry Knowledge:

Familiarity with general banking workflows or prior IT experience in the banking industry is preferred.

Core Competencies:

Proficient in ETL tools and understanding of databases
Able to analyze problems and read code
Able to design workflows using flowcharts
Senior level: Demonstrated leadership, technical decision-making, and strong problem-solving abilities.

Technical Skillset:

Responsibilities:

Provides testing data and its documentation.
Ensures the quality and accuracy of data.
Analyze and interpret all complex data on all target systems and analyze and provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers
Perform tests and validate all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements into all design specifications
Develop all data warehouse models and prepare reports for all meta data integration into systems and draft all ETL scripts and prepare required reports for all end users
Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same
Develop and perform tests on all ETL codes for system data and analyze all data and design all data mapping techniques for all data models in systems