The Responsibilities :

• Understand the customer requirements to ensure you will deliver the right data product.
• Understand, extract, and analyze data sources from various technologies.
• Design and implement data solutions with its orchestration.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry, and market regulations. (GDPR, PDPA, HIPAA)
• Support the technical architecture part of the pre-sales proposal.
• Work closely with business stakeholders to understand their data needs and with the Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain processes to ensure best practices to deliver a clean and compliant data pipeline.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.

The Qualifications :

• 2-3 years of relevant experience in data engineering.
• Experience API call, SQL, Python, and SparkPY experience to build optimized ELT/ETL pipeline.
• Develop data models following the data architecture.
• Awareness of data modeling and data architecture.
• Experience in Databricks, Snowflake, Synapse, Redshift, PosGres
• Be able to develop a downloader to extract data (Python preferably)
• Strong analytical and problem-solving skills
• Strong communication skills.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.

Extra points if you have :

• Fluency in Thai language.
• Any certification in AWS, GPC, or Azure
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes
• Worked on more than one project and with various tech stacks
• knowledge of ETL orchestration tools (Databricks, Airflow …)
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or a related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.

The Benefits :

• 10 (15) days annual paid vacation
• Flexible working hours
• Hybrid working policy
• Health & Life insurance
• Free Lunch every Wednesday
• Provident Fund
• Learning Support
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station, with easy access to the highway
• International work environment with over 25 different nationalities on the team
• Working with a wide and interesting portfolio of clients in SEA and globally
• Opportunity to visit events and conferences
• Standard perks such as free drinks and snacks in the office, team activities, trips, and great parties