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Analytics Engineer - OpenData EMEA(m/w/x)
Data transformation and integration into OpenData platform for life sciences, including scalable crawler configuration. 4+ years Python/SQL experience and hands-on scalable crawler building required. RSUs, family health insurance, private pension contributions.
Requirements
- 4+ years of experience as a data analyst using SQL
- 4+ years of experience as an analytic engineer using Python
- Strong understanding of good practices, like version control and code reviews
- Hands-on experience building robust and scalable crawlers
- Solid understanding of data structures and data models
- Experience modeling, transforming and cleaning of raw data
- Experience with crawling tools like Mozenda or Zyte
- Experience with Redshift
- Experience with Dbt, Polars
Tasks
- Create maintenance jobs to transform data
- Clean and validate data from various sources
- Configure and maintain scalable crawlers
- Build ad-hoc and regular reports
- Integrate extracted data into the OpenData platform
- Implement data quality and observability measures
- Collaborate with cross-functional teams to deliver solutions
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Mozenda
- Zyte
- Redshift
- Dbt
- Polars
Benefits
Competitive Pay
- Restricted Stock Units (RSUs)
Family Support
- Family health insurance
Retirement Plans
- Contributions to private pension plans
Social Impact
- Annual allocations for charitable contributions
Healthcare & Fitness
- Fitness reimbursement
Flexible Working
- Work from anywhere
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Analytics Engineer - OpenData EMEA(m/w/x)
Data transformation and integration into OpenData platform for life sciences, including scalable crawler configuration. 4+ years Python/SQL experience and hands-on scalable crawler building required. RSUs, family health insurance, private pension contributions.
Requirements
- 4+ years of experience as a data analyst using SQL
- 4+ years of experience as an analytic engineer using Python
- Strong understanding of good practices, like version control and code reviews
- Hands-on experience building robust and scalable crawlers
- Solid understanding of data structures and data models
- Experience modeling, transforming and cleaning of raw data
- Experience with crawling tools like Mozenda or Zyte
- Experience with Redshift
- Experience with Dbt, Polars
Tasks
- Create maintenance jobs to transform data
- Clean and validate data from various sources
- Configure and maintain scalable crawlers
- Build ad-hoc and regular reports
- Integrate extracted data into the OpenData platform
- Implement data quality and observability measures
- Collaborate with cross-functional teams to deliver solutions
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Mozenda
- Zyte
- Redshift
- Dbt
- Polars
Benefits
Competitive Pay
- Restricted Stock Units (RSUs)
Family Support
- Family health insurance
Retirement Plans
- Contributions to private pension plans
Social Impact
- Annual allocations for charitable contributions
Healthcare & Fitness
- Fitness reimbursement
Flexible Working
- Work from anywhere
About the Company
Veeva Systems
Industry
Healthcare
Description
The company is a pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
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