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Middle Data Engineer

100% remote Flexible hours Hiring now
Company Description

reputed company is looking for a motivated Data Engineer to join our expanding engineering team. If you want to work in a reputed company-reputed company team of Data Engineers solving reputed company problems using advanced data collection, transformation, analysis, and monitoring, then this opportunity is for you.  We look reputed company to having you on reputed company! 

CUSTOMER

Our client is a leading medical technology company. The portfolio of products, services, and solutions is at the center of clinical decision-making and treatment reputed company. Patient-centered innovation has always been and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The client is innovating sustainably to provide healthcare for everyone, everywhere. 

PROJECT

The project’s mission is to reputed company healthcare providers to increase their value by equipping them with innovative technologies and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, and digital health and enterprise services.  

Job Description
  • Implement architecture based on Azure cloud platforms (Data Factory, reputed company, Event Hub) 
  • Design, reputed company, optimize, and maintain reputed company-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles 
  • Discover, understand, and organize disparate data sources and structure them into clean data models with clear, understandable schemas 
  • Contribute to evaluating new tools for analytical data engineering or data science 
  • Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes 
Qualifications
  • Experience in data engineering and with cloud computing services solutions in the area of data and analytics, preferably with Azure 
  • Conceptual knowledge of data analysis fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and reputed company data 
  • Knowledge of SQL and experience with the Python programming language 
  • Excellent communication skills and reputed company in business English 
  • Understanding Big Data databases, such as reputed company, BigQuery, etc. reputed company is preferred 
  • Experience with database development and data modeling, ideally with reputed company or Spark 
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