Data Engineering Consultant

vor 3 Wochen


Lindau ZH, Zürich, Schweiz Capco Vollzeit

About the Role:


We are seeking a talented Data Engineer to join our team at Capco. As a Data Engineer, you will be responsible for designing and developing innovative data pipelines to automate testing, reporting, and analytics for our clients in the financial services industry.


Key Responsibilities:



  • Design and develop data pipelines using Cloudera Data Science Workbench, Pyspark, and AWS Sagemaker
  • Implement CI/CD for Execution, Deployments, and feature implementations
  • Develop data pipelines to automate platform performance monitoring, system issues, incidents, and alerting mechanisms
  • Collaborate with cross-functional teams to deliver high-quality solutions
  • Stay up-to-date with industry trends and emerging technologies

Requirements:



  • Integration of streaming and file-based data ingestion/consumption (Kafka, Control M, AWA)
  • DevOps, data pipeline development, and automation using Jenkins and Octopus
  • Experience in Cloudera Data Science Workbench, Pyspark, AWS Sagemaker, and Hadoop ecosystem
  • Scripting languages like Python, Java, Scala, R, and Shell
  • In-depth knowledge of Kafka, Kubernetes, Docker, Spark, and big data platforms

About Capco:


Capco is a leading consultancy that helps financial institutions navigate complex change and innovation. We offer a dynamic and inclusive work environment, with opportunities for growth and development.


What We Offer:



  • Competitive salary and benefits package
  • Opportunities for career growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools
  • Flexible working hours and remote work options

How to Apply:


If you are a motivated and talented Data Engineer looking for a new challenge, please submit your application with your CV and a cover letter.



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