Set up as a new job alert
Set up as a new job alert
Enter your email below to receive alerts to your inbox when similar jobs become available.
By clicking "Yes, send me jobs" below you are consenting to receive jobs to your inbox, based on the search criteria you have selected, as per our privacy policy.
By clicking "Yes, send me jobs" below you are consenting to receive jobs to your inbox, based on the search criteria you have selected, as per our privacy policy.
Thank you for signing up for a Job Alert
11586en
- Contract
- English
- Mid-Senior level
- Digital & Technology
- Zurich
- Digital & Technology
Skills
Python, Jupyter, Tableau, PowerBI, Oracle, SQL Server, Denodo, external REST APIs, DevOps / DataOps in Python, SQL/NoSQL and private
Click here to get a notification every time a job like this gets added
Great news! We will let you know when a new job like this has been added!
This vacancy has now expired
For our client, a leading company with headquarters in Zurich, Swisslinx are urgently searching for a highly motivated and competent
DataOps Engineer
The scope of this position is to build and maintain a data analytics infrastructure from inception to operationalisation. Additionally, you will maintain SQL and NoSQL databases, ensure integration of all tools and data pipelines with source systems and data warehouses and ensure the data analytics infrastructure is aligned with enterprise architecture standards.
This is a contract position in Zurich.
The start date is 16/12/2019.
The end date is 30/04/2020.
The project language is English.
For this role, we are searching for a DataOps Engineer with focus on building a data analytics infrastructure, leveraging the Python technology stack for data analytics, integrating with Jupyter, Tableau, PowerBI, Oracle, SQL Server, Denodo, external REST APIs. Experience with DevOps / DataOps in Python, SQL/NoSQL and private cloud is necessary. The ideal candidate has experience in data engineering, preferably applying DataOps best practices.
DataOps Engineer
The scope of this position is to build and maintain a data analytics infrastructure from inception to operationalisation. Additionally, you will maintain SQL and NoSQL databases, ensure integration of all tools and data pipelines with source systems and data warehouses and ensure the data analytics infrastructure is aligned with enterprise architecture standards.
This is a contract position in Zurich.
The start date is 16/12/2019.
The end date is 30/04/2020.
The project language is English.
For this role, we are searching for a DataOps Engineer with focus on building a data analytics infrastructure, leveraging the Python technology stack for data analytics, integrating with Jupyter, Tableau, PowerBI, Oracle, SQL Server, Denodo, external REST APIs. Experience with DevOps / DataOps in Python, SQL/NoSQL and private cloud is necessary. The ideal candidate has experience in data engineering, preferably applying DataOps best practices.
I manage this role