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Senior Databricks Data Engineer(m/w/x)
Description
You design and optimize data pipelines while collaborating with stakeholders to develop effective data solutions. Additionally, you mentor junior engineers and ensure that best practices for data quality and security are maintained.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Deep hands-on experience with Databricks
- •Experience with Azure, AWS, or GCP
- •Experience with Spark (PySpark/Scala)
- •Experience with Delta Lake and MLflow
- •Strong programming skills in Python or Scala
- •Experience with CI/CD pipelines
- •Familiarity with GitHub Actions and Azure DevOps
- •Solid understanding of distributed computing
- •Data modeling and performance tuning skills
- •Experience in cloud-native environments
- •Familiarity with orchestration tools
- •Experience with Databricks Workflows and Airflow
- •Familiarity with infrastructure-as-code
- •Experience with Terraform
- •Proactive mindset and strong communication skills
- •Passion for building scalable data systems
- •Professional communications skills in German & English
Work Experience
approx. 4 - 6 years
Tasks
- •Design and maintain scalable data pipelines.
- •Develop batch and streaming data workflows.
- •Collaborate with stakeholders to define data solutions.
- •Optimize performance and cost of Databricks jobs.
- •Establish best practices for data quality and security.
- •Mentor junior engineers in Databricks expertise.
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
Career Advancement
- •Career acceleration opportunity
- •Annual performance review
Purpose-Driven Work
- •Impactful project contributions
Flexible Working
- •Flexible work location options
Mentorship & Coaching
- •Individual development plan
Learning & Development
- •Paid educational resources
Team Events
- •Team events and networking
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Senior Databricks Data Engineer(m/w/x)
The AI Job Search Engine
Description
You design and optimize data pipelines while collaborating with stakeholders to develop effective data solutions. Additionally, you mentor junior engineers and ensure that best practices for data quality and security are maintained.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Deep hands-on experience with Databricks
- •Experience with Azure, AWS, or GCP
- •Experience with Spark (PySpark/Scala)
- •Experience with Delta Lake and MLflow
- •Strong programming skills in Python or Scala
- •Experience with CI/CD pipelines
- •Familiarity with GitHub Actions and Azure DevOps
- •Solid understanding of distributed computing
- •Data modeling and performance tuning skills
- •Experience in cloud-native environments
- •Familiarity with orchestration tools
- •Experience with Databricks Workflows and Airflow
- •Familiarity with infrastructure-as-code
- •Experience with Terraform
- •Proactive mindset and strong communication skills
- •Passion for building scalable data systems
- •Professional communications skills in German & English
Work Experience
approx. 4 - 6 years
Tasks
- •Design and maintain scalable data pipelines.
- •Develop batch and streaming data workflows.
- •Collaborate with stakeholders to define data solutions.
- •Optimize performance and cost of Databricks jobs.
- •Establish best practices for data quality and security.
- •Mentor junior engineers in Databricks expertise.
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
Career Advancement
- •Career acceleration opportunity
- •Annual performance review
Purpose-Driven Work
- •Impactful project contributions
Flexible Working
- •Flexible work location options
Mentorship & Coaching
- •Individual development plan
Learning & Development
- •Paid educational resources
Team Events
- •Team events and networking
About the Company
Ultra Tendency
Industry
IT
Description
Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT, and Microservices. They design, build, and operate large-scale data-driven applications for major enterprises.
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