Analyze the requirement to improve the Data Platform,
Design, develop and ship the reliable data warehouses
Actively work with the other Data Team to enable them to be able to discover the data asset that we have
Become a coach for your fellow data engineer that able to teach them
Giving suggestion for any data architecture for every element in organization
Requirements
Working experience of at least 4 years with exposure to Big Data, Real-time data pipelines, ETL processes and supporting tools/framework such as Airflow, spark etc
Experience in working with any data platform that can handle discovery, observability, quality, and reliability
Experienced in Cloud Service environment, especially GCP at least 3 years. Skill in other Cloud Services is a big plus
Experienced third party behavior analytics tools such as Firebase / Moengage / CleverTap etc
Experienced in working with RDBMS & Non-RDBMS datastores
In conjunction with the requirement above, excellent skills in writing efficient querying language especially SQL with at least 5 years working experience
Experienced in utilizing popular Visualization Tools such as Tableau / Holistics / Metabase etc
Fluently in Python programming with at least 5 years working experience
Understand how to analyze & utilize data in order to provide value/insights for company decision making
Working with data quality tools / framework for at least 1 years
Great understanding about investment and business in general is a big plus
