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Data Engineer(m/w/x)
Designing and optimizing platform services on GCP with BigQuery and Dataflow. SQL programming and dbt experience required. Autonomy and remote work.
Requirements
- Knowledge and experience in SQL programming and dbt
- At least 3 years experience in data science/engineering environment with strong track record of data projects on GCP
- Experience with GCP native services like BigQuery, Cloud Run, Dataproc, and Dataflow highly appreciated
- Experience developing high-quality software incl. unit & integration tests in Python or Java, leveraging CI/CD tools and Git
- Experience managing data pipeline workflows with Airflow
- Experience with containerization (Docker) and infrastructure as code frameworks (Terraform)
- Experience with distributed computing technologies like Apache Spark and knowledge of ML concepts/frameworks is a strong plus
- Openness to new technologies and challenges
Tasks
- Design platform services on GCP
- Implement platform services on GCP
- Continuously optimize platform services on GCP
- Define data needs with architects and engineers
- Provide solutions with architects and engineers
- Develop high-quality code for data pipelines
- Develop data products
- Provision data products
- Monitor data products
- Maintain data pipeline orchestration
- Maintain datalake
- Maintain data warehouse
- Initiate data and engineering projects
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- dbt
- Google Cloud Platform (GCP)
- BigQuery
- Cloud Run
- Dataproc
- Dataflow
- Python
- Java
- CI/CD
- Git
- Airflow
- Docker
- Terraform
- Apache Spark
Benefits
Purpose-Driven Work
- Autonomy
Flexible Working
- Remote work
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Data Engineer(m/w/x)
Designing and optimizing platform services on GCP with BigQuery and Dataflow. SQL programming and dbt experience required. Autonomy and remote work.
Requirements
- Knowledge and experience in SQL programming and dbt
- At least 3 years experience in data science/engineering environment with strong track record of data projects on GCP
- Experience with GCP native services like BigQuery, Cloud Run, Dataproc, and Dataflow highly appreciated
- Experience developing high-quality software incl. unit & integration tests in Python or Java, leveraging CI/CD tools and Git
- Experience managing data pipeline workflows with Airflow
- Experience with containerization (Docker) and infrastructure as code frameworks (Terraform)
- Experience with distributed computing technologies like Apache Spark and knowledge of ML concepts/frameworks is a strong plus
- Openness to new technologies and challenges
Tasks
- Design platform services on GCP
- Implement platform services on GCP
- Continuously optimize platform services on GCP
- Define data needs with architects and engineers
- Provide solutions with architects and engineers
- Develop high-quality code for data pipelines
- Develop data products
- Provision data products
- Monitor data products
- Maintain data pipeline orchestration
- Maintain datalake
- Maintain data warehouse
- Initiate data and engineering projects
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- dbt
- Google Cloud Platform (GCP)
- BigQuery
- Cloud Run
- Dataproc
- Dataflow
- Python
- Java
- CI/CD
- Git
- Airflow
- Docker
- Terraform
- Apache Spark
Benefits
Purpose-Driven Work
- Autonomy
Flexible Working
- Remote work
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
comparis.ch
Industry
Consulting
Description
The company is the leading comparison platform in Switzerland, offering price comparisons for health insurers, telecom providers, and banks.
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