Data Engineer
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Direct message the job poster from Intelliswift - An LTTS Company
• Candidates must be willing to work overlapping hours with Eastern and/or UK time zones.
• Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
• Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
• Strong proficiency with relational databases.
• Strong background in data modeling and database design.
• Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
• Familiarity with Containerization such as Docker and EKS/Kubernetes.
• Familiarity with one or more RnD research process and associated regulatory requirements.
• Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
• Exposure to big data technologies and handling.
• Knowledge of machine learning operations (MLOps) and model deployment.
• Strong problem-solving and analytical abilities.
• Excellent communication skills and collaboration skills.
• Experience working in an Agile development environment.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- Pharmaceutical Manufacturing
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- Location:
- United Kingdom
- Job Type:
- FullTime
- Category:
- IT & Technology