Senior Data Engineer: Snowflake & Cloud Pipelines (Remote)
BairesDev
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Benefits offered by this job
Job summary
BairesDev is seeking a Lead Data Engineer to design and optimize scalable data pipelines on GCP with Python. This remote role offers high-impact analytics, collaboration with product and engineering teams, and global opportunities in a fully distributed environment.
You will shape data models, ETL/ELT workflows, and data quality standards while working with the world's Top 1% of tech talent. English required.
Qualifications
- 5+ years of experience in Data Engineering or a related field.
- Strong hands-on Python and GCP services: BigQuery, Dataflow, Pub/Sub.
- Experience designing streaming data pipelines and robust ETL/ELT workflows.
- Solid understanding of orchestration with Airflow or Cloud Composer and analytics data modeling.
- Excellent English proficiency.
Responsibilities
- Design, implement, and maintain scalable batch and streaming data pipelines.
- Architect and optimize ETL/ELT workflows using cloud-native services.
- Develop data models for downstream analytics use cases.
- Collaborate with product and engineering teams to integrate datasets and ensure data quality.
- Monitor and optimize pipeline performance for reliability.
Skills
Tools
Job description
BairesDev is seeking a Lead Data Engineer to design and optimize scalable data pipelines on GCP with Python. This remote role offers high-impact analytics, collaboration with product and engineering teams, and global opportunities in a fully distributed environment.
You will shape data models, ETL/ELT workflows, and data quality standards while working with the world's Top 1% of tech talent. English required.
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