We are looking for an experienced Senior Data Engineer with a 68 years background in designing building and optimizing data pipelines in AWS environments.
- Design build and maintain ELT pipelines that collect transform and load data from various sources.
- Ensure data integrity accuracy and consistency across systems.
- Collaborate with the Data Architect and Data Analyst to design optimal data models and integration solutions.
- Implement data governance performance optimization and security best practices.
- Automate workflows and contribute to standardizing data engineering processes.
- Support rollout scalability for additional countries and business units.
Qualifications :
- 68 years of experience as a Data Engineer or similar data-focused role.
- Proven expertise in data pipeline design and development using AWS tools and services.
- Solid understanding of data modeling schema design and optimization techniques.
- Experience with data quality frameworks and metadata management.
- Excellent analytical and communication skills.
Tech stack
- AWS Services: Lambda Glue S3 Redshift Athena.
- General AWS Cloud experience: IAM networking cost optimization and automation.
- Veeva (nice to have) exposure to pharma-related data or validated systems.
- Python and advanced SQL for data transformation and orchestration.
Additional Information :
- Previous experience in pharma healthcare or regulated environments (GxP/CSV)
- Familiarity with data governance or data catalog tools.
- Remote (EU-based) with occasional short trips to Italy.
- Employment contract: CIM.
Remote Work :
Yes
Employment Type :
Full-time
We are looking for an experienced Senior Data Engineer with a 68 years background in designing building and optimizing data pipelines in AWS environments.Design build and maintain ELT pipelines that collect transform and load data from various sources.Ensure data integrity accuracy and consistency a...
We are looking for an experienced Senior Data Engineer with a 68 years background in designing building and optimizing data pipelines in AWS environments.
- Design build and maintain ELT pipelines that collect transform and load data from various sources.
- Ensure data integrity accuracy and consistency across systems.
- Collaborate with the Data Architect and Data Analyst to design optimal data models and integration solutions.
- Implement data governance performance optimization and security best practices.
- Automate workflows and contribute to standardizing data engineering processes.
- Support rollout scalability for additional countries and business units.
Qualifications :
- 68 years of experience as a Data Engineer or similar data-focused role.
- Proven expertise in data pipeline design and development using AWS tools and services.
- Solid understanding of data modeling schema design and optimization techniques.
- Experience with data quality frameworks and metadata management.
- Excellent analytical and communication skills.
Tech stack
- AWS Services: Lambda Glue S3 Redshift Athena.
- General AWS Cloud experience: IAM networking cost optimization and automation.
- Veeva (nice to have) exposure to pharma-related data or validated systems.
- Python and advanced SQL for data transformation and orchestration.
Additional Information :
- Previous experience in pharma healthcare or regulated environments (GxP/CSV)
- Familiarity with data governance or data catalog tools.
- Remote (EU-based) with occasional short trips to Italy.
- Employment contract: CIM.
Remote Work :
Yes
Employment Type :
Full-time
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