Data Engineer

• Develop and manage data integration solutions including Extract Transform Load (ETL) processes to ensure seamless data flow between different systems and databases

• Leverage Microsoft Azure cloud services for data integration storage and processing

• Strong SQL and TransactSQL (TSQL) skills for writing and optimizing queries stored procedures and triggers

• Ensure efficient data retrieval and manipulation

• Integrate data from external sources and applications through API integration

• Implement data governance practices to ensure data quality security and compliance

• Use tools like Azure Purview for data discovery classification and maintaining metadata

• Tune and optimize data pipelines for performance reliability and scalability

• Monitor and address performance bottlenecks in integration workflows

Qualifications:

• In depth technical knowledge and experience with SQL and SSIS
• Hyper communication and inquisitive
• Driver with high level of selfmotivation
• Extreme accountability and ownership
• Handson executionists vs theorists
• Critical thinking and problemsolving skills
• Must be handson with development and build. Need team members who are selfmotivated and driven.
• Must have deep experience with SSIS Python SQL and ideally Azure and Azure Data Factory. Primary relevant experience would be coding complex SQL building the integration packages (including logic development) flat file transfers etc.
• MUST must possess familiarity and working knowledge of Validated Systems

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Additional Details

Recruiters Here is the prioritized list of experience to determine fit for the role:

1. In depth skillset knowledge and experience Need to have
2. CRO experience (Clinical Research Organization) Nice to have
3. Validated Systems Nice to have

Recruiters USE this question to vet out experience with Validated Systems (required for candidates:

• What is Validation to you
• Example Answer:
  • Well do you mean data validation or systems validation
  • Do not just look at it from a data perspective

Sourcing Tips:

• CRO A Clinical Research Organization (CRO) is a specialized company that provides services to the pharmaceutical biotechnology and medical device industries to support the planning conduct and management of clinical trials
  • Examples: IQVIA PPD Syneos Celerion CRA. Other companies like Almac (Clinical Services) also a fit
• CTMS A clinical trial management system (CTMS ) is a validated system responsible for managing all operational aspects of a clinical trial from study startup to closeout. Research sites site networks health systems academic medical centers and cancer centers use a CTMS to centralize information related to protocols subjects staff financials and billing etc.
• Examples: Veeva Medidata Oracle Siebel CTMS BioClinica ERT TrialCommand.