Texnologiya və bacarıqlar
- SQL
- Python
- ClickHouse
- Airflow
- Terraform
- CI/CD
- BigQuery
- Snowflake
- Data Governance
- Dagster
- Data Modeling
- dbt
Requirements
- 2+ years of experience in data engineering in a production environment.
- Proficient in Python and SQL with experience in building production solutions.
- Experience with data orchestration tools like Dagster or Airflow.
- Practical experience with analytical warehouses and data modeling (e.g., ClickHouse, dbt).
- Ability to identify problems, prioritize tasks, and drive solutions independently.
- Comfortable working in uncertain conditions and quickly learning new tools and domains.
- Understanding of the business context of data solutions and effective collaboration with teams.
- Skills: SQL, Terraform, CI/CD, Machine Learning, Python, BigQuery, Snowflake, Clickhouse, Airflow
- Experiences: Mid-level
- Employments: Full-time
- Benefits: Learning budget, Paid time off, Wellness benefits
Description
- Take full ownership of the data platform end-to-end, from integrations and pipelines to data quality and infrastructure.
- Develop the data platform from scratch using AI-native approaches, ensuring it scales with business growth.
Benefits
- Ownership of the data platform, influencing its development and priorities.
- Impact on business decisions through the data you build and maintain.
- Broad role encompassing data engineering, development, and infrastructure.
- Opportunity to influence technical direction and explore new solutions.
- Short turnaround from idea to implementation.
- Remote work format, relocation package, training budget, medical insurance, and 20 days of paid vacation.