
Senior/Lead Developer (Python & Azure Cloud Environment)
emagine Polska
Status
Hexjobs Insights
Senior/Lead Developer role focused on Python and Azure in a healthcare setting. Responsibilities include designing data pipelines and optimizing for large-scale processing.
Słowa kluczowe
Benefity
- Fully remote work.
- High hourly rate up to 175 PLN.
- Contract lasting over 12 months with extensions possible.
- Business travels to Denmark approx. 2 times a year.
- Opportunity to work in a global mission-driven healthcare environment.
🌍Work mode – fully remote.💰Rate: up to 175 zl/h B2B.⏳Contract length – >12 months with possibility of extensions.⏰Start – ASAP/1 month.✈Business Travels: to Denmark aprox. 2 x times a year.📕Language – English.⚙️Industry - pharmaceutical.💼Recruitment process - 2 interviews with the client.💻Workload: Full time.Build critical data platforms. Own the outcomes.This is a senior individual contributor role within a global, mission-driven healthcare environment. You’ll design and deliver core data platform capabilities that support high-impact, regulated products used at global scale.We’re looking for someone brought in for judgement and ownership, not just delivery. What you will be doingYour key responsibilities include the following:Own end-to-end design and implementation of data pipelines on a Databricks LakehouseBuild and optimize Python for large-scale data processingDesign data models, schemas, and lineage from business and regulatory requirementsSet up and maintain CI/CD (Azure DevOps or GitHub Actions)Ensure production quality: testing, security, performance, observabilityWhat we are looking for:We are seeking a candidate with an educational background in Computer Science, Software Development, or Engineering, as well as experience in some of the following areas:5+ years professional Python experience (data-heavy systems)Hands-on Databricks and Lakehouse architecture experienceStrong data modeling and warehousing backgroundExperience with GraphQL APIsAzure cloud experience (Data Lake, Databricks, Storage)
| Opublikowana | 20 dni temu |
| Wygasa | za około miesiąc |
| Źródło |
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