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Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s or master's in computer science, Data Science, Bioinformatics, Certification in Azure Databricks and/or Azure DevOps.

Key responsabilities:

  • Design, build, and maintain data management systems
  • Ensure compliance with GxP regulations
  • Develop CI/CD pipelines to automate testing and deployment
  • Create data products for cross-functional teams
  • Collaborate with various stakeholders on technical solutions
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Ework Group Human Resources, Staffing & Recruiting SME https://www.eworkgroup.com/
201 - 500 Employees
See more Ework Group offers

Job description

We are looking for a Data Engineer in India for our client in the Pharmaceutical Industry


Responsibilities:

The candidate will leverage Data Mesh and Medallion architecture principles within Azure Databricks and manage CI/CD processes in Azure DevOps to support data-driven decision-making in drug development and clinical trials.


Key Responsibilities:


Data Pipeline Design and Development:

  • Design, construct, install, test, and maintain highly scalable data management systems using Azure Databricks following Data Mesh and Medallion architecture principles
  • Ensure architectures support the needs of scientific and compliance-focused stakeholders.
  • Integrate new data management technologies and software engineering tools into existing structures.


GxP Compliance:

  • Implement and maintain data solutions and documentation in compliance with GxP guidelines critical for pharmaceutical applications.
  • Collaborate with quality assurance teams to ensure data integrity and reliability for regulatory submissions.


CI/CD Pipeline Management:

  • Develop and maintain scalable and efficient CI/CD pipelines in Azure DevOps to automate testing and deployment of data pipelines.
  • Ensure continuous monitoring, testing, and performance tuning of all data management and processing systems.


Data Product Development:

  • Build data products and services to support varied requirements from cross-functional teams including R&D, clinical operations, and regulatory affairs.
  • Assist in translating data into usable insights and predictions to support strategic decisions.


Collaboration and Communication:

  • Work closely with data scientists, business stakeholders, and IT teams to ensure solutions are robust, scalable, and aligned with business requirements.
  • Document and communicate data architecture and engineering solutions clearly to both technical and non-technical stakeholders.


Qualifications:


Education & Certification:

  • Bachelor’s or master's degree in computer science, Data Science, Bioinformatics, or a related field.
  • Certification in Azure Databricks and/or Azure DevOps is highly advantageous.


Experience:

  • Proven experience as a Data Engineer, preferably in the pharmaceuticals industry, with an understanding of GxP compliance requirements.
  • Experience in building and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • Experience in Azure Databricks and Azure DevOps, with a deep understanding of Datamesh and Medallion architecture principles.


Skills:

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.
  • Excellent interpersonal and communication skills, capable of working in a cross-functional environment.


Way of working requirements

We expect that you adhere to the client's ways of working to ensure effective collaboration and productivity.


Minimum expectations include:


Following Agile Principles:

Engage actively in team events/meetings (e.g. Team Sync, Iteration Planning, Iteration Review, Retrospectives) as well as ART level events (e.g. Program Increment Planning, System Demos, and Inspect and Adapt workshops).


Accountability:

You are expected to take ownership of your – and your teams work, meet commitments, and be accountable for the quality and timeliness of deliverables.


Embrace Lean-Agile Mindset:

Focusing on delivering value, and being receptive to change, feedback, and learning (contribute to retrospectives, identify areas for improvement, and actively participate in implementing enhancements).


Be an active team member:

Actively engage in open and transparent communication, share your view, concerns, risks and blockers you think may prevent progress.


In Team meetings you:

Speak up – bring your suggestions and input forward and ask if you have questions,

Have your video on.


Start date: 13/05/2024

End date: 31/12/2024

Location: Offsite India

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Social Skills

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