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Senior Data Engineer - phData
Data Engineer
Senior Data Engineer driving end‑to‑end data pipelines on the modern stack, leveraging Snowflake, cloud services (AWS, Azure, GCP), dbt, and Fivetran to deliver scalable, high‑quality data solutions.
About the role
Key Responsibilities
- Design, build, and maintain robust data pipelines that ingest, transform, and load data into Snowflake and other cloud warehouses.
- Collaborate with data scientists and analysts to translate business requirements into scalable data models using dbt and SQL.
- Integrate and orchestrate data ingestion from Fivetran, ensuring data quality and consistency across AWS, Azure, and GCP environments.
- Implement monitoring, alerting, and performance tuning to guarantee pipeline reliability and optimal throughput.
- Document architecture, processes, and best practices for internal teams and external stakeholders.
Requirements
- 5+ years of experience as a Data Engineer in a cloud‑first environment.
- Proficiency in Python, SQL, and modern data orchestration tools.
- Hands‑on experience with Snowflake, dbt, and Fivetran.
- Strong understanding of AWS, Azure, and GCP services related to data engineering.
- Excellent problem‑solving skills and a passion for clean, maintainable code.
Skills
pythonsnowflakeawsazuregcpdbt