Role: Data Engineer
Skills: DBT, Snowflake, Airbyte, Dagster, SQL
Job Summary:
We are looking for a skilled Data Engineer with hands‑on experience in modern data stack tools including DBT, Snowflake, Airbyte, Dagster, and strong SQL expertise. The role involves building scalable data pipelines, ensuring high‑quality transformations, and enabling reliable data flows across the analytics ecosystem.
Key Responsibilities
- Design, build, and maintain ELT/ETL pipelines using Airbyte (ingestion) and Dagster (orchestration).
- Develop and manage DBT models, including staging, transformation, testing, and documentation.
- Work extensively with Snowflake to build warehouses, optimize queries, manage schemas, and ensure data performance.
- Implement data quality checks, lineage tracking, and pipeline observability.
- Collaborate with analytics, product, and engineering teams to deliver clean and reliable data assets.
- Optimize SQL queries and data models for performance and cost efficiency.
- Automate pipeline deployments and follow best practices for version control and CI/CD.
Required Skills
- Strong hands-on experience with DBT (models, macros, tests, exposures).
- Proficiency in Snowflake — warehouses, roles, Snowpipe, performance tuning.
- Experience using Airbyte for data ingestion and connector configuration.
- Experience with Dagster for pipeline orchestration and scheduling.
- Excellent SQL skills for complex transformations and optimization.
- Understanding of data modeling (star/snowflake schema, dimensional modeling).
- Knowledge of Git-based workflows and CI/CD.