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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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