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Skills:
Flowaccount, SQL, Amazon AWS
Job type:
Full-time
Salary:
฿45,000 - ฿60,000, negotiable
- Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
- Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
- Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
- Consume and reason about domain events (e.g. JournalEntryCreated-style events) - not just batch table dumps.
- Participate in on-call rotation for pipeline/data incidents.
- Mid (3 - 5 years).
- Implement pipelines and dbt models to a given design spec.
- Maintain and extend existing Redshift schemas.
- Handle defined CDC jobs and respond to data-quality alerts.
- Senior (6+ years) - in addition to the above.
- Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
- Define data contracts with backend/DDD service owners - event schema versioning, breaking-change policy, deprecation process.
- Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
- Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
- New-Data Intake (how this role interacts with Analytics Engineering).
- Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
- Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation - coordinate with the owning backend team if instrumentation is needed.
- Build/extend the ingestion pipeline and warehouse schema to land the new data.
- Hand off to Analytics Engineering once the data is queryable.
- You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
- Strong SQL (Redshift or another columnar/MPP warehouse).
- Python or Spark for pipeline/transformation work.
- Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
- Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
- Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
- (Senior) Track record owning data-model design and cross-team data contracts.
- Preferred.
- Experience with CDC tools (DMS, Debezium).
- Experience handling PII/financial data under a compliance regime (PDPA or equivalent) - including tenant/row-level isolation in a multi-tenant warehouse.
- Prior experience in a DDD/microservices backend environment.
- What We Offer.
- Build products used by tens of thousands of businesses.
- Ship code that reaches customers quickly.
- High ownership with minimal bureaucracy.
- Learn from experienced engineers and product leaders.
- Flexible work hours and 45 days/year work from anywhere.
- Competitive compensation, health & accident insurance from day one.
- 17 - 19 public holidays, 12 personal leave days, and 8 annual leave days.
- A friendly, collaborative team that genuinely enjoys building together.
- Clear opportunities to grow your career as the company scales.
- BKK BangRak Office (MRT Samyan or BTS Saladaeng).
- Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.
9 days ago
Skills:
Flowaccount, SQL, Amazon AWS
Job type:
Full-time
Salary:
฿20,000 - ฿25,000, negotiable
- Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
- Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
- Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
- Consume and reason about domain events (e.g. JournalEntryCreated-style events) - not just batch table dumps.
- Participate in on-call rotation for pipeline/data incidents.
- Mid (3 - 5 years).
- Implement pipelines and dbt models to a given design spec.
- Maintain and extend existing Redshift schemas.
- Handle defined CDC jobs and respond to data-quality alerts.
- Senior (6+ years) - in addition to the above.
- Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
- Define data contracts with backend/DDD service owners - event schema versioning, breaking-change policy, deprecation process.
- Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
- Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
- New-Data Intake (how this role interacts with Analytics Engineering).
- Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
- Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation - coordinate with the owning backend team if instrumentation is needed.
- Build/extend the ingestion pipeline and warehouse schema to land the new data.
- Hand off to Analytics Engineering once the data is queryable.
- You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
- Strong SQL (Redshift or another columnar/MPP warehouse).
- Python or Spark for pipeline/transformation work.
- Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
- Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
- Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
- (Senior) Track record owning data-model design and cross-team data contracts.
- Preferred.
- Experience with CDC tools (DMS, Debezium).
- Experience handling PII/financial data under a compliance regime (PDPA or equivalent) - including tenant/row-level isolation in a multi-tenant warehouse.
- Prior experience in a DDD/microservices backend environment.
- What We Offer.
- Build products used by tens of thousands of businesses.
- Ship code that reaches customers quickly.
- High ownership with minimal bureaucracy.
- Learn from experienced engineers and product leaders.
- Flexible work hours and 45 days/year work from anywhere.
- Competitive compensation, health & accident insurance from day one.
- 17 - 19 public holidays, 12 personal leave days, and 8 annual leave days.
- A friendly, collaborative team that genuinely enjoys building together.
- Clear opportunities to grow your career as the company scales.
- BKK BangRak Office (MRT Samyan or BTS Saladaeng).
- Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.
10 days ago
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