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3 hours ago
Job Title: Senior Data Engineer
Role OverviewWe are looking for a seasoned data engineer to spearhead the design and implementation of scalable data pipelines using Snowflake and dbt. This professional will define architectural best practices, drive data transformation at scale, and ensure seamless integration with various systems.
Main Responsibilities- Develop modular, test-driven ELT pipelines using dbt on Snowflake, leveraging expertise in SQL and Snowflake.
- Create layered data models aligned with dbt best practices, incorporating structured and semi-structured data from APIs, cloud storage, and databases.
- Ingest data into Snowflake, optimizing its performance and cost through advanced techniques.
- Apply dbt capabilities, including macros, packages, custom tests, sources, exposures, and documentation, to streamline data management.
- Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines for efficient data processing.
- Establish data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies to protect sensitive information.
- Bachelor's or master's degree in computer science, data engineering, or a related field.
- Certifications such as SnowPro Advanced, dbt Certified Developer are advantageous.
- Expert-level knowledge of SQL and Snowflake.
- Proficiency in dbt development, including modular model design, macros, tests, documentation, and version control using Git.
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