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Data Engineer(m/w/x)
Building scalable data pipelines and Lakehouse architectures for digital products at a B2B software developer. Senior-level expertise with Databricks, AWS, Snowflake, and Spark required. Monthly 57CHF communication allowance.
Requirements
- Senior-level experience in data engineering and BI
- Strong background with cloud platforms (Databricks, AWS, Azure)
- Hands-on expertise in data warehousing (Snowflake, Redshift, BigQuery) and big data technologies (Hadoop, Spark)
- Proficiency in Python, R, SQL
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Familiarity with IaC tools (Terraform, CloudFormation) and both SQL and NoSQL databases
- Language skills (min. C1): German and English
- University degree in Computer Science, Mathematics, Statistics, Business Informatics, or a related field
Tasks
- Build scalable data pipelines
- Design and operate Lakehouse architectures
- Develop and maintain dashboards
- Ensure security and scalability of data infrastructure
- Monitor data infrastructure performance
- Collaborate with data science and machine learning experts
- Work with cloud engineering teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Databricks
- AWS
- Azure
- Snowflake
- Redshift
- BigQuery
- Hadoop
- Spark
- Python
- R
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- Terraform
- CloudFormation
Benefits
Flexible Working
- Flextime and hybrid workspaces
Competitive Pay
- Annual salary reviews
Additional Allowances
- Monthly communication allowance of 57CHF
Learning & Development
- Career growth and training
Informal Culture
- Direct communication and feedback culture
Other Benefits
- High quality focus
Team Events
- Cool team events
Modern Equipment
- Choose your OS
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Data Engineer(m/w/x)
Building scalable data pipelines and Lakehouse architectures for digital products at a B2B software developer. Senior-level expertise with Databricks, AWS, Snowflake, and Spark required. Monthly 57CHF communication allowance.
Requirements
- Senior-level experience in data engineering and BI
- Strong background with cloud platforms (Databricks, AWS, Azure)
- Hands-on expertise in data warehousing (Snowflake, Redshift, BigQuery) and big data technologies (Hadoop, Spark)
- Proficiency in Python, R, SQL
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Familiarity with IaC tools (Terraform, CloudFormation) and both SQL and NoSQL databases
- Language skills (min. C1): German and English
- University degree in Computer Science, Mathematics, Statistics, Business Informatics, or a related field
Tasks
- Build scalable data pipelines
- Design and operate Lakehouse architectures
- Develop and maintain dashboards
- Ensure security and scalability of data infrastructure
- Monitor data infrastructure performance
- Collaborate with data science and machine learning experts
- Work with cloud engineering teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Databricks
- AWS
- Azure
- Snowflake
- Redshift
- BigQuery
- Hadoop
- Spark
- Python
- R
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- Terraform
- CloudFormation
Benefits
Flexible Working
- Flextime and hybrid workspaces
Competitive Pay
- Annual salary reviews
Additional Allowances
- Monthly communication allowance of 57CHF
Learning & Development
- Career growth and training
Informal Culture
- Direct communication and feedback culture
Other Benefits
- High quality focus
Team Events
- Cool team events
Modern Equipment
- Choose your OS
About the Company
Mimacom AG
Industry
IT
Description
Das Unternehmen entwickelt digitale Produkte, die Unternehmen in verschiedenen Branchen unterstützen, effektiver zu arbeiten.
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