The Role :

• As a Senior Data Engineer, you will be responsible for Analyzing, Validating data sources, Extracting, Loading, Transforming and orchestrating to build data solutions at client scale. You will provide support for data solutions and data architecture to provide the best data outcome for our client use case.
• You will have to bring expertise in strategy to handle data quality, data integrity and play consultant in the product team or with clients. You will work closely with various teams across the organization and with various clients in a variety of industries to provide the best-bespoken data solution that will help drive growth and optimize business processes. You will be the reliable point of truth for the client.
   

Responsibilities : 

• Drive and consult our client to ensure it will have the right solution to solve its use cases.
• Understand, Analyze, collect and analyze a large set of data sources from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definition against the available data source.
• Design and implement data solutions with its orchestration.
• Fine-tune Data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Solution design document.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory. (GDPR, PDPA, HIPAA)
• Support the technical architecture part of pre-sales proposal.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain processes to ensure best practice to deliver a clean and compliant data pipeline.
• Enable SevenPeaks into data by mentoring newbie in data engineering.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
   

Qualifications :

• 5+ years of relevant experience in data engineering.
• Experience API call, SQL, Python, SparkPY experience to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Synapse, Redshift, PosGres
• Be able to develop downloader (Python preferably)
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills and ability to effectively communicate 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, GPC 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 ML/AI project related
• Worked in more than one projects 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.

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 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.