Senior Data Engineer (Snowflake) - Remote, Flexible Hours
BairesDev
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Benefits offered by this job
Job summary
BairesDev is seeking a Lead Data Engineer (Snowflake) with strong Python and GCP experience to design, build, and optimize enterprise-scale data pipelines in a fully remote setting.
You will develop streaming and batch ETL/ELT workflows, model data for analytics, and collaborate with product and engineering teams to ensure reliable analytics in a modern cloud environment. English proficiency is required, and flexible hours are offered.
Qualifications
- 5+ years of experience in Data Engineering, Software Engineering, or a related field.
- Strong hands-on experience with Python and GCP services like BigQuery, Dataflow, and Pub/Sub.
- Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
- Solid understanding of workflow orchestration with Apache Airflow or Cloud Composer and data modeling for analytics.
- Advanced proficiency in English.
Responsibilities
- Design, implement, and maintain highly scalable batch and streaming data pipelines.
- Architect and optimize robust ETL/ELT workflows utilizing cloud-native services and orchestrators.
- Develop and optimize high-performance data models tailored for downstream analytical use cases.
- Collaborate with product and engineering teams to integrate diverse datasets and establish data quality standards.
- Monitor, troubleshoot, and continuously improve pipeline performance to guarantee efficiency and reliability.
Skills
Tools
Job description
BairesDev is seeking a Lead Data Engineer (Snowflake) with strong Python and GCP experience to design, build, and optimize enterprise-scale data pipelines in a fully remote setting.
You will develop streaming and batch ETL/ELT workflows, model data for analytics, and collaborate with product and engineering teams to ensure reliable analytics in a modern cloud environment. English proficiency is required, and flexible hours are offered.
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