Overview
Remote
50 - 60
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required
Unable to Provide Sponsorship
Skills
DPTM
Job Details
Roles and Responsibilities:
- Design, develop, and maintain data pipelines to extract and load data into data lakes and warehouses.
- Build and optimize data transformation rules and data models for analytical and operational use.
- Collaborate with Product Analysts, Data Scientists, and ML Engineers to make data accessible and actionable.
- Implement data quality checks, maintain data catalogs, and utilize orchestration, logging, and monitoring tools.
- Apply test-driven development methodologies to ELT/ETL pipeline construction.
Requirements:
- 10+ years of relevant experience in data engineering.
- Domain expertise in DPTM (Discovery Preclinical and Translational Medicine) and DSCS (Development Sciences and Clinical Supply).
- Proficiency with AWS services including S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, and CloudWatch.
- Hands-on experience with platforms like Databricks and Dataiku.
- Strong coding skills in Python/Java, SQL (Redshift preferred), and tools like Jenkins, CloudFormation, Terraform, Git, Docker, and Spark (2–3 years with PySpark).
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