Senior Data Engineer

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.
• 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).
• 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

• 5+ years of relevant experience in data engineering.
• 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, Synapse, Redshift, PostgreSQL.
• 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

• Fluency in Thai language.
• Certified and experienced in Databricks.
• Any certification in AWS, Azure or GCP.
• 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 ML/AI related areas.
• Worked in more than one project and with various tech stacks.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow …)
• 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.