Data Engineer

Responsibilities: 

• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities
• Maintain and support ETL jobs for the project
• Collaborate with all developers and business users to gather required data and execute all ETL programs
• Continuously learn about data warehousing, data lakes, and big data concepts and stay updated with the latest tools and best practices in Python, SQL, Snowflake, and GCP
• Develop and update technical documentation
• Conduct unit testing and troubleshooting
• Collaborate with cross-functional teams, including Data Analysts (DA) and Data Scientists (DS), to understand data requirements and develop data pipelines to support analytics and reporting.
• Stay abreast of industry trends and emerging technologies to recommend and implement improvements to our data engineering processes.

Qualifications:

• 1-2 years’ experience in Data engineer or related role (Fresh graduate is welcome)
• Have a basic knowledge of container (Docker)  concept
• Strong understanding of database concepts, data modeling, and SQL.
• Have experience in Microsoft SQL Server, Bigquery ,Snowflake is plus
• Have experience in Apache Airflow ,SSIS
• Have experience in BI Tools such as Tableau, Looker Studio
• Proficiently in Python, SQL (DML, DDL, DQL)
• Strong team player with good communication skills and a passion for learning
• Passion to learn and adapt to new technologies in a fast-paced environment.
• Able to work from office 3 days/week
• Good in English for research