Über
We are seeking a Senior Data Engineer with hands-on Snowpark (Python) experience to build and optimize scalable data pipelines within Snowflake. This role will support pharma/life sciences client initiatives and requires strong technical execution in a consulting environment.
Requirements:
7+ years of experience as a Data Engineer. Must have Pharma / Life Sciences industry experience. 3+ years hands-on Snowflake production experience. 2+ years production experience with Snowpark (Python). Not just Python - specifically Snowpark in Snowflake. Experience implementing ingestion workflows using Snowpipe. Strong SQL skills. Experience building ELT pipelines directly in Snowflake (using Tasks, Streams, or Snowpipe). Experience in client-facing or consulting environments. Preferred:
Experience working with analytics or commercial datasets. Cloud platform experience (AWS, Azure, or GCP). Experience with orchestration tools (Airflow, etc.). Responsibilities:
Develop scalable ELT pipelines in Snowflake. Build data transformation logic using Snowpark (Python). Implement and manage ingestion workflows using Snowpipe. Optimize Snowflake warehouse performance and query tuning. Ensure data quality and reliability. Collaborate directly with client stakeholders and project teams.
26-00261
Sprachkenntnisse
- English
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