TUPPL Technology Inc
AWS Data Engineer – Pharma / Life Sciences
San Francisco, California, USA · Contract
Sponsorship not specifiedDetected 139 days ago
PythonSQLSnowflakeRedshiftDatabricksAWSCI/CDDevOpsSparkAirflowData EngineeringAI OrchestrationEHR/EMRClinical TrialsGMPFDA RegulatoryResearchGxPHadoop
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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Work with large-scale datasets including clinical, research, and real-world evidence (RWE) data.
- Ensure data quality, integrity, and compliance with pharma regulations (GxP, FDA, 21 CFR Part 11).
Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines using AWS services.
- Build and maintain data lakes and data warehouses on AWS (S3, Redshift, Glue, EMR).
- Develop robust data ingestion frameworks for structured and unstructured data sources.
- Implement data transformation and processing using PySpark, Spark, and SQL.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions.
- Optimize performance, scalability, and cost-efficiency of AWS data platforms.
- Implement monitoring, logging, and alerting using AWS CloudWatch and related tools.
- Maintain documentation for data pipelines, architecture, and data models.
Requirements
- The ideal candidate will have deep expertise in AWS data services, big data technologies, and a strong understanding of clinical, regulatory, and pharmaceutical data processes.
- Required Skills & Experience Technical Skills Strong experience with AWS services:
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