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