Clinical Programmer (SAS)

at  Katalyst Healthcares Life Sciences

Lawrenceville, NJ 08648, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate10 Nov, 2024Not Specified10 Aug, 20243 year(s) or aboveEclinical,Computer Science,Etl Tools,Shell Scripting,Sas Programming,EcsNoNo
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Description:

Responsibilities:

  • Leverage technical expertise to define feasible solutions and understand limitations.
  • Can create/develop prototypes for new solutions as applicable.
  • Create best practices for data loading, transformation, and extraction.
  • Develop data architecture, data modeling, and ETL mapping solutions within structured data warehouse environment.
  • Develop and implement ETL routines according to the Data Warehouse (DWH) design and architecture.
  • Support the development and validation required through the lifecycle of the DWH, maintain user connectivity and provide adequate security for data warehouse.
  • Monitor the DWH systems performance and integrity; provide corrective and preventative maintenance as required.
  • Maintain data integrity and traceability across the transformation lifecycle from the Source to Target.

Requirements:

  • 8+ years of experience with any ETL tool.
  • Minimum 5+ years of experience in SQL language.
  • Minimum 3+ years of experience with cloud technologies.
  • Minimum 3+ years of experience in SAS programming.
  • Minimum 5+ years of experience in shell scripting.
  • Good to have experience with ECS (eClinical Solution) ETL tool.
  • 8+ years of experience with ETL tools such as Informatica, Data Stage or eClinical Solutions.
  • 2+ years of experience with programming ETL Tools. eClinical is the preferred tool.
  • 5+ years of experience with SQL language and experience with shell scripting.
  • 3+ years of experience with cloud technologies and SAS Programming.
  • Bachelor’s Degree (Computer Science preferably).

Responsibilities:

  • Leverage technical expertise to define feasible solutions and understand limitations.
  • Can create/develop prototypes for new solutions as applicable.
  • Create best practices for data loading, transformation, and extraction.
  • Develop data architecture, data modeling, and ETL mapping solutions within structured data warehouse environment.
  • Develop and implement ETL routines according to the Data Warehouse (DWH) design and architecture.
  • Support the development and validation required through the lifecycle of the DWH, maintain user connectivity and provide adequate security for data warehouse.
  • Monitor the DWH systems performance and integrity; provide corrective and preventative maintenance as required.
  • Maintain data integrity and traceability across the transformation lifecycle from the Source to Target


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Lawrenceville, NJ 08648, USA