Roche
Head of PT Data Engineering(m/w/x)
Full-timeOn-siteManagement
Basel
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ABAbbott Products Operations AG
Senior Data Engineer(m/w/x)
Basel
Full-timeOn-siteSenior
Nejo AI Summary
Building and optimizing data pipelines for healthcare diagnostics and medical devices. 5-8 years data engineering experience required. Exposure to regulated industries a plus.
Requirements
- Bachelor's or Master's degree in relevant field
- 5-8 years relevant working experience in data engineering
- Exposure to regulated industries (pharmaceuticals) is a plus
- Strong Python skills
- Strong SQL skills
- Java or Scala skills a plus
- Strong experience with AWS technologies
- Strong experience with Spark
- Strong experience with Hadoop
- Strong experience with Airflow
- Strong experience with dbt
- Strong experience with Terraform
- Strong experience with Docker
- Strong experience with Git
- Strong experience with SQL databases
- Strong experience with NoSQL databases
- Proven experience designing enterprise ETL platforms
- Emphasis on observability in ETL design
- Demonstrated ability to guide junior developers
- Demonstrated ability to guide 3rd party contractors
- Proven communication skills
- Fluency in English
- Passion for transforming organizations through large scale data
Tasks
- Build, maintain, and optimize data pipelines
- Acquire, ingest, and process data from multiple sources
- Load data into data lakes and warehouses
- Implement monitoring and alerting systems
- Develop testing frameworks for data quality
- Design and manage cloud data environments (AWS)
- Focus on reusability, performance, and security
- Plan data engineering architecture with affiliates
- Set quality standards for team solutions
- Implement DevOps practices (CI/CD, IaC)
- Automate deployment, testing, and monitoring
- Collaborate with data scientists and engineers
- Drive data-driven decision making
- Ensure compliance with data security standards
- Provide technical leadership to junior engineers
- Foster a collaborative environment
- Stay updated with emerging data technologies
- Integrate innovative practices into initiatives
Work Experience
- 5 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Java
- Scala
- AWS
- EMR
- Glue
- Athena
- RDS
- Step Functions
- S3
- Spark
- Hadoop
- Airflow
- dbt
- Terraform
- Docker
- Git
- SQL databases
- NoSQL databases
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Abbott Products Operations AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ABAbbott Products Operations AG
Senior Data Engineer(m/w/x)
Basel
Full-timeOn-siteSenior
Nejo AI Summary
Building and optimizing data pipelines for healthcare diagnostics and medical devices. 5-8 years data engineering experience required. Exposure to regulated industries a plus.
Requirements
- Bachelor's or Master's degree in relevant field
- 5-8 years relevant working experience in data engineering
- Exposure to regulated industries (pharmaceuticals) is a plus
- Strong Python skills
- Strong SQL skills
- Java or Scala skills a plus
- Strong experience with AWS technologies
- Strong experience with Spark
- Strong experience with Hadoop
- Strong experience with Airflow
- Strong experience with dbt
- Strong experience with Terraform
- Strong experience with Docker
- Strong experience with Git
- Strong experience with SQL databases
- Strong experience with NoSQL databases
- Proven experience designing enterprise ETL platforms
- Emphasis on observability in ETL design
- Demonstrated ability to guide junior developers
- Demonstrated ability to guide 3rd party contractors
- Proven communication skills
- Fluency in English
- Passion for transforming organizations through large scale data
Tasks
- Build, maintain, and optimize data pipelines
- Acquire, ingest, and process data from multiple sources
- Load data into data lakes and warehouses
- Implement monitoring and alerting systems
- Develop testing frameworks for data quality
- Design and manage cloud data environments (AWS)
- Focus on reusability, performance, and security
- Plan data engineering architecture with affiliates
- Set quality standards for team solutions
- Implement DevOps practices (CI/CD, IaC)
- Automate deployment, testing, and monitoring
- Collaborate with data scientists and engineers
- Drive data-driven decision making
- Ensure compliance with data security standards
- Provide technical leadership to junior engineers
- Foster a collaborative environment
- Stay updated with emerging data technologies
- Integrate innovative practices into initiatives
Work Experience
- 5 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Java
- Scala
- AWS
- EMR
- Glue
- Athena
- RDS
- Step Functions
- S3
- Spark
- Hadoop
- Airflow
- dbt
- Terraform
- Docker
- Git
- SQL databases
- NoSQL databases
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Abbott Products Operations AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Abbott Products Operations AG
Industry
Healthcare
Description
Abbott is a global healthcare leader that helps people live more fully at all stages of life, with a portfolio spanning diagnostics, medical devices, nutritionals, and branded generic medicines.
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