-Role and Responsibilities
-Understand business and technology requirements and translate them into data requirements.
-Have to execute and manage multiple initiatives and deliverables simultaneously while meeting deadlines.
Develop, manage and monitor Extract Transform and Load (ETL) processes for financial related data.
-Develop and implement data modeling of data warehouse systems and work closely with development, support, DBA and business teams.
-Deliver data acquisition, transformations, cleansing, conversion, compression, and loading of data into a variety of data models.
-Collaborate with internal & external stakeholders to deliver results while meeting deadlines and have ability to source data from multiple systems and sources using tools such as SQL scripts.
-Strong knowledge and experience with data modeling, database design, complex SQL queries and query optimization is a must and understanding in key infrastructure components such as databases,
SFTP servers, and other parts of the stack.
-Able to work under pressure and can adapt quickly in an evolving environment and a high energy, self-motivated individual, who can collaborate with cross-functional teams with minimal supervision
to deliver results.
-Support business user ad-hoc data request and also provide an advice for business user regarding how to design best condition to answer business question.

Requirements
-Bachelor or Master’s Degree in Computer Sciences / Computer Engineering / -IT or any related field.
-At least 2-3 years of experience in data engineer –ETL developer role.
-Experienced with ETL and/or other data migration/ data pipeline process.
-Experienced with data modeling of data warehouse projects.
-Advance SQL programming (MySQL, Oracle, Postgresql) is a must and fundamental Linux shell
-scripting is also needed.
-Understanding and able to work with Python, R statistical languages will be advantages.
-Experience with Business Intelligence tools such as Power BI, Tableau experience will be
-advantages.
-Fluently communicate (verbal and written) in both Myanmar and English languages.