Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- AWS
- Azure
- Snowflake
- Redshift
- BigQuery
- Hadoop
- Spark
- Python
- R
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- Terraform
- CloudFormation
Benefits
Flexibles Arbeiten
- Flextime and hybrid workspaces
Attraktive Vergütung
- Annual salary reviews
Sonstige Zulagen
- Monthly communication allowance of 57CHF
Weiterbildungsangebote
- Career growth and training
Lockere Unternehmenskultur
- Direct communication and feedback culture
Sonstige Vorteile
- High quality focus
Team Events & Ausflüge
- Cool team events
Moderne Technikausstattung
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- AWS
- Azure
- Snowflake
- Redshift
- BigQuery
- Hadoop
- Spark
- Python
- R
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- Terraform
- CloudFormation
Benefits
Flexibles Arbeiten
- Flextime and hybrid workspaces
Attraktive Vergütung
- Annual salary reviews
Sonstige Zulagen
- Monthly communication allowance of 57CHF
Weiterbildungsangebote
- Career growth and training
Lockere Unternehmenskultur
- Direct communication and feedback culture
Sonstige Vorteile
- High quality focus
Team Events & Ausflüge
- Cool team events
Moderne Technikausstattung
- Choose your OS
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Mimacom AG
Branche
IT
Beschreibung
Das Unternehmen entwickelt digitale Produkte, die Unternehmen in verschiedenen Branchen unterstützen, effektiver zu arbeiten.
Noch nicht perfekt?
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