Senior Data Transformation Specialist
Há 2 dias
As a key member of our data transformation and modeling team, you will play a vital role in enhancing and scaling our data layer.
- Key Responsibilities:
- Design and implement robust data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services.
- Develop modular, well-documented dbt models with strong test coverage for business reporting, lifecycle marketing, and experimentation.
- Collaborate with analytics and business stakeholders to define source-to-target transformations and implement them in dbt.
- Maintain and improve our orchestration layer (Airflow/Astronomer) to ensure reliability and efficient dependency management.
- Contribute to data model design best practices, including dimensional modeling, naming conventions, and versioning strategies.
- Core Skills & Experience:
- Hands-on experience developing dbt models at scale, including macros, snapshots, testing frameworks, and documentation. Familiarity with dbt Cloud or CLI workflows.
- Strong SQL skills and understanding of Snowflake architecture, including query performance tuning and cost optimization.
- Experience managing Airflow DAGs, scheduling jobs, and handling retries and failures; familiarity with Astronomer is a plus.
- Proficiency in dimensional data modeling and building reusable data marts.
- Familiarity with AWS services such as DMS, Kinesis, and Firehose is a plus.
- Familiarity with event data and flows, especially related to Segment, is a plus.
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