Dein persönlicher KI-Karriere-Agent
Senior Data Engineer(m/w/x)
Building and optimizing data pipelines for healthcare diagnostics and medical devices. 5-8 years data engineering experience required. Exposure to regulated industries a plus.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 - 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Java
- Scala
- AWS
- EMR
- Glue
- Athena
- RDS
- Step Functions
- S3
- Spark
- Hadoop
- Airflow
- dbt
- Terraform
- Docker
- Git
- SQL databases
- NoSQL databases
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Senior Data Engineer(m/w/x)
Building and optimizing data pipelines for healthcare diagnostics and medical devices. 5-8 years data engineering experience required. Exposure to regulated industries a plus.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 - 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Java
- Scala
- AWS
- EMR
- Glue
- Athena
- RDS
- Step Functions
- S3
- Spark
- Hadoop
- Airflow
- dbt
- Terraform
- Docker
- Git
- SQL databases
- NoSQL databases
Über das Unternehmen
Abbott Products Operations AG
Branche
Healthcare
Beschreibung
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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