The Responsibilities
Drive and consult our clients to ensure they will have right solutions to solve their use cases.
Understand, analyze and collect a large set of data from multiple sources.
Collaborate with stakeholders to validate data semantics and metrics definitions.
Design and implement data solutions with data orchestration.
Strong knowledge of ETL orchestration tools (Databricks, Airflow , Pentaho …)
Model and set up data flow towards third party system such as CDP/CEP
Fine-tune data queries for optimization.
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 regulatory (GDPR, PDPA, HIPAA).
Knowledge of Data governance principles and tools (DBT, Collibra, Purview, …)
Support pre-sales activities and proposals delivery.
Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
Develop and maintain best practice of delivering clean and compliant data pipelines.
Mentor more junior BI and Data Engineers.
Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
The Qualifications
Experience in consultancy.
Experience in API calls, SQL, Python, SparkPY to build optimized ELT/ETL pipeline.
Knowledge of data modeling and data architecture.
Experience in Databricks, Snowflake, Fabric, Big Query.
Have experience in Customer Engagement Platform integration (CEP)
Experience in AI tool to support development
Experience in developing data flow for AI (RAG, Gen BI , …)
Be able to develop a downloader (Python preferably).
Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
Strong communication skills to effectively explain technical concepts to non-technical stakeholders.
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
Certified and experienced in Snowflake..
Any certification in AWS or Azure.
First experiences in data modeling
Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
Experience with docker, Kubernetes.
Experience in Relay42, Segment, Mparticle, Moengage
Experience in ML/AI related areas.
Exposure in LangChain
Worked in more than one project and with various tech stacks.
SI Vendor industry experience.
Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
Familiarity with statistical analysis and machine learning concepts is a plus.
10(15) days annual paid vacation
Flexible working hours
Hybrid Working Policy
Health & Life insurance
Provident Fund
Free Lunch every Wednesday
Learning and Certifications support
Grade A Office in the heart of Bangkok, directly connect with MRT Queen Sirikit Station
International work environment with over 20 different nationalities in 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