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5 дней назад

Data Developer Ii (Life Sciences)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Data Developer (Life Sciences): Developing and maintaining scalable data pipelines using Azure Synapse Analytics/ADF and Azure Databricks, supporting analytics initiatives across clinical, regulatory, and commercial domains. Focus on integrating data from ERP systems like Salesforce and SAP into analytic-ready formats, and enabling advanced analytics and machine learning initiatives through clean, reliable data.

Location: Required to be on-site minimum 3 days a week with flexible work timing overlapping with US time.

Company

hirify.global is a company focused on developing, manufacturing, and marketing healthcare products and services worldwide.

What you will do

  • Design, develop, and maintain scalable and secure data pipelines using Azure Synapse Analytics/ADF, and Azure Databricks.
  • Develop curated datasets for clinical, regulatory, and commercial analytics using SQL and PySpark.
  • Create and support dashboards and reports using Power BI.
  • Collaborate with cross-functional stakeholders to understand data needs and translate them into technical solutions.
  • Work closely with ERP teams to integrate and transform business-critical data into analytic-ready formats.
  • Partner with Data Scientists to enable advanced analytics and machine learning initiatives by providing clean, reliable, and well-structured data.

Requirements

  • At least 2+ years of experience in data world.
  • Proven track record of successful Azure Synapse projects and initiatives.
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • 3+ years of experience in SQL.
  • 2–3 years of experience in cloud technologies.
  • Excellent communication skills (English).

Culture & Benefits

  • Foster a collaborative and innovative work environment, encouraging new learning, knowledge sharing and continuous improvement.

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