Remote Data Engineer (dbt) - Build Scalable Data Pipelines
BairesDev
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Benefits offered by this job
Job summary
BairesDev, a global tech company, seeks a Data Engineer specializing in dbt to design scalable transformation pipelines within the modern data stack. You will bridge raw data ingestion and BI, ensuring datasets are modeled with precision and performance for downstream analytics.
You will work with dbt, SQL, and cloud data warehouses such as Snowflake, BigQuery, or Redshift, applying best practices, collaborating with stakeholders, and ensuring data quality and reliability across the organization.
Qualifications
- At least 4+ years in Data/Analytics/Software Engineering.
- Proven dbt (Core or Cloud) transformation expertise.
- Advanced SQL proficiency for complex queries and tuning.
- Experience with Snowflake, BigQuery or Redshift.
- Strong understanding of star and snowflake data modeling.
- Advanced English proficiency.
Responsibilities
- Design, implement, and maintain dbt-based data transformation workflows.
- Develop modular data models using star and snowflake schemas.
- Write and optimize SQL queries for performance and scalability.
- Apply software engineering practices to the analytics workflow.
- Collaborate with stakeholders to define data quality standards and tests.
- Monitor pipeline performance and ensure data freshness and reliability.
Skills
Tools
Job description
BairesDev, a global tech company, seeks a Data Engineer specializing in dbt to design scalable transformation pipelines within the modern data stack. You will bridge raw data ingestion and BI, ensuring datasets are modeled with precision and performance for downstream analytics.
You will work with dbt, SQL, and cloud data warehouses such as Snowflake, BigQuery, or Redshift, applying best practices, collaborating with stakeholders, and ensuring data quality and reliability across the organization.
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