Job Description

Design, implement, and maintain scalable data pipelines and architectures for our data warehouse platforms (e.g., Snowflake).

• Author complex SQL queries and work with various databases, both SQL and NoSQL.
• Develop and optimize big data solutions to support business analytics and reporting needs.
• Collaborate with data analysts, and other stakeholders to understand data requirements and deliver actionable insights.
• Develop and update business intelligence reports using BI platforms like Metabase..
• Ensure data accuracy, consistency, and integrity across all databases.
• Provide technical expertise in data models, database design, and data integration processes.

Job Requirement

• At least 1 year of experience.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience with data warehouse platforms such as Snowflake, or similar.
• Strong proficiency in SQL and experience with both SQL and NoSQL databases.
• In-depth knowledge of data models, ETL processing, database design development, data mining, and segmentation techniques.
• Experience in building and optimizing data pipelines, architectures, and data sets.
• Familiarity with business intelligence platforms, particularly Metabase, and experience in developing and updating BI reports.
• Knowledge about frameworks like Hadoop, Spark, Kafka, Zookeeper...
• Excellent English communication skills, both written and verbal.
• Ability to work effectively in a fast-paced, collaborative team environment.
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.
• Location: 22 Thanh Cong, Ba Dinh District, Hanoi
• Working time: From 7:00 AM - 4:00 PM, Weekends off (4 Sundays and 2 Saturdays).

Preferred Qualifications 

• Master's degree in a related field.
• Experience with cloud-based data warehousing solutions.
• Experience with SQL queries.
• Knowledge of programming languages such as Python or R.
• Familiarity with data visualization tools like Tableau, Metabase or any related BI tools
• Experience with machine learning and predictive analytics.