Key skills
AirflowDockerLinuxPythonSQLBIdbtGitERP
About this role
Role Overview
- Develop and maintain data pipelines in Python
- Implement extraction and incremental load strategies for high-volume relational databases
- Build and evolve models in dbt
- Write quality tests and keep documentation up to date
- Read, refactor, and optimize complex SQL queries to improve performance
- Work with Docker and Linux environments
- Follow a Git workflow with Pull Requests and ongoing code reviews with the team
- Develop custom extractors or use ingestion tools such as dlt, orchestrate pipelines with Dagster or Airflow, and load data into analytical databases like ClickHouse.
Requirements
- Solid Python skills for data pipelines (2+ years)
- Advanced SQL — reading, refactoring, and optimizing complex queries
- dbt — hands-on experience building models, tests, and documentation
- Experience with high-volume relational databases and extraction/incremental load strategies
- Docker and comfort with Linux environments
- Git and workflow with PRs and code review
- Plus: ingestion tools like dlt or building custom extractors
- Orchestrators (Dagster, Airflow)
- ClickHouse or other analytical databases
- Data catalog and governance tools (e.g., OpenMetadata)
- Experience with BI environment migrations
- Experience with commercial ERP systems
Tech Stack
- Airflow
- Docker
- Linux
- Python
- SQL
Benefits
- Birthday day off
- Unimed health plan
- Odontoprev dental plan
- Mixtra
- TotalPass
- Life insurance
- Meal allowance
- Home office allowance