Senior Data Engineer (Healthcare)
Offer summary
Qualifications:
Proven experience in data engineering with cloud services, especially Microsoft Azure., Strong understanding of data analytics fundamentals, including ETL, data warehousing, and data governance., Proficiency in SQL and Python for data processing and modeling., Hands-on experience with Databricks, PySpark, and familiarity with big data platforms like Snowflake..Key responsibilities:
- Design, develop, and maintain data architectures and pipelines on Azure cloud platforms.
- Collaborate with team leads and clients to clarify technical requirements.
- Discover, analyze, and organize disparate data sources into structured data models.
- Participate in evaluating new analytical tools and contribute to team training and process improvements.
Job description
Company Description
We are looking for a Senior Data Engineer to lead a team, improve data practices, and help drive new opportunities and growth.
Would you like to join an experienced team and work with a worldknown Customer? We have a fantastic opportunity for an experienced and skilled Senior Data Engineer to participate in the development of a rapidly growing project.
Feel challenged? Then we would like to hear from you!
CUSTOMER
Our client is a leading global company with years of experience in innovative technologies. By bridging the real and digital worlds with top solutions, they enable the transformation of everyday life for billions of people. Their portfolio of products, services, and solutions is focused on clinical decisionmaking and treatment pathways.
PROJECT
The project’s mission is to enable healthcare providers to increase their value by providing them with innovative technology and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, digital health, and enterprise services.
Job Description- Work closely with the client (PO) and other Team Leads to clarify technical requirements and expectations
- Provide support where Team Lead’s support is required
- Implement architecture based on Azure cloud platforms (Data Factory, Databricks, and Event Hub)
- Design, develop, optimize, and maintain squadspecific data architectures and pipelines that adhere to defined ETL and Data Lake principles
- Discover, analyze, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
- Contribute to the evaluation of new tools for analytical data engineering or data science
- Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes
- Participate in presale activities and work with potential opportunities in the data direction
Qualifications
- Proven experience in data engineering and handson work with cloud computing services, specifically Microsoft Azure
- Strong understanding of data analytics fundamentals, including dimensional modeling, ETL, reporting tools, data governance, data warehousing, and both structured and unstructured data
- Proficiency in SQL and Python
- Handson experience with Databricks and PySpark for data processing and modeling
- Familiarity with big data platforms such as Snowflake, BigQuery, etc.; experience with Snowflake is a plus
- Fluency in business English
Additional Information
PERSONAL PROFILE
- Excellent communication skills
We are looking for a Senior Data Engineer to lead a team, improve data practices, and help drive new opportunities and growth.
Would you like to join an experienced team and work with a worldknown Customer? We have a fantastic opportunity for an experienced and skilled Senior Data Engineer to participate in the development of a rapidly growing project.
Feel challenged? Then we would like to hear from you!
CUSTOMER
Our client is a leading global company with years of experience in innovative technologies. By bridging the real and digital worlds with top solutions, they enable the transformation of everyday life for billions of people. Their portfolio of products, services, and solutions is focused on clinical decisionmaking and treatment pathways.
PROJECT
The project’s mission is to enable healthcare providers to increase their value by providing them with innovative technology and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, digital health, and enterprise services.
Job Description- Work closely with the client (PO) and other Team Leads to clarify technical requirements and expectations
- Provide support where Team Lead’s support is required
- Implement architecture based on Azure cloud platforms (Data Factory, Databricks, and Event Hub)
- Design, develop, optimize, and maintain squadspecific data architectures and pipelines that adhere to defined ETL and Data Lake principles
- Discover, analyze, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
- Contribute to the evaluation of new tools for analytical data engineering or data science
- Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes
- Participate in presale activities and work with potential opportunities in the data direction
Qualifications
- Proven experience in data engineering and handson work with cloud computing services, specifically Microsoft Azure
- Strong understanding of data analytics fundamentals, including dimensional modeling, ETL, reporting tools, data governance, data warehousing, and both structured and unstructured data
- Proficiency in SQL and Python
- Handson experience with Databricks and PySpark for data processing and modeling
- Familiarity with big data platforms such as Snowflake, BigQuery, etc.; experience with Snowflake is a plus
- Fluency in business English
Additional Information
PERSONAL PROFILE
- Excellent communication skills
- Work closely with the client (PO) and other Team Leads to clarify technical requirements and expectations
- Provide support where Team Lead’s support is required
- Implement architecture based on Azure cloud platforms (Data Factory, Databricks, and Event Hub)
- Design, develop, optimize, and maintain squadspecific data architectures and pipelines that adhere to defined ETL and Data Lake principles
- Discover, analyze, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
- Contribute to the evaluation of new tools for analytical data engineering or data science
- Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes
- Participate in presale activities and work with potential opportunities in the data direction
- Proven experience in data engineering and handson work with cloud computing services, specifically Microsoft Azure
- Strong understanding of data analytics fundamentals, including dimensional modeling, ETL, reporting tools, data governance, data warehousing, and both structured and unstructured data
- Proficiency in SQL and Python
- Handson experience with Databricks and PySpark for data processing and modeling
- Familiarity with big data platforms such as Snowflake, BigQuery, etc.; experience with Snowflake is a plus
- Fluency in business English
- Excellent communication skills
Additional Information
PERSONAL PROFILE
Qualifications
Required profile
Experience
Other Skills
- Communication
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