- 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
- 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
- Good Teamwork & Communication skills
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