We are looking for experienced engineers passionate about building large scale data processing systems to help manage the ever-growing information needs of our clients. Your challenges will be spread across a spectrum that ranges from being a trusted advisor to our clients on all things data to working with a team of smart engineers from advising clients on key decisions in their data analytics journey, to working with a team of smart engineers to deliver large scale systems that ingest, aggregate and visualize terabytes of data.
Data Architect (m/w/d)
Work with customers to develop high performance, scalable implementations of Data Warehouse/Data Lake and BI solutions for large enterprises
Understand and work with large volumes of data and data modeling techniques
Deploy data pipelines in production based on Continuous Delivery practices
Work with other team-members to propose technical solutions to business problems, be part of proof of concept build outs etc.
Write and review code to maintain and evolve data pipelines
Mentor junior developers
Data integration from variety of data sources (e.g. relational data from databases such as IBM DB2, MS SQL Server, SAP BW and semi-structured data from web services)
Quick understanding of existing SAP-BW data schema and creation of possible data integration procedures into snowflake/data bricks world
Functional areas like Finance or Supply Chain, Logistics, OTC, procurement etc. in Chemical and pharmaceutical companies
A highly skilled and result oriented Data Architect/Consultant with about 8-12 years of industry experience who can work with customers to develop high performance, scalable implementations of Data Warehouse/Data Lake solutions for large enterprises
At least 5+ years of actual implementation experience on distributed data processing platforms like Apache Spark, Azure Databricks, AWS EMR, Google DataProc, Hive, Snowflake, Apache Airflow etc in a production setting.
6+ years of experience with Java, Python and/or Scala and SQL
Deploy Databricks based ETL/data pipelines in production based on Continuous Delivery practices.
biDemonstrate a deep understanding the SnowFlake platform in the context of designing a BI reporting solution
Demonstrate a deep understanding of competitive and complementary technologies and vendors (especially if possible in SAP-BW) and how to position Snowflake in relation to them
Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process
Deploy Snowflake following best practices, including ensuring knowledge transfer sothat customers are properly enabled and able to extend the capabilities of Snowflake on their own
Understand and work with complex data modeling techniques. Provide guidance on how to resolve customer-specific technical challenges
Demonstrate understanding of basic statistics and an intuition for data.
Excellent German Language Skills (C-Level)
Claranet combines pioneering technologies, practices, and expertise to propel our customers' ambitions. Through a vibrant customer-centric culture of collaboration, learning, and opportunity, we nurture a dynamic community of the best technology and service expertise spanning cloud, cybersecurity, networks, and unified communications.
Founded in 1996, Claranet has evolved into a multi-disciplinary technology services provider with a global reach. The company has annualised revenues of over £400 million, over 10,000 business customers, and more than 2,500 employees in ten countries. Claranet Germany was founded in 2000 and has developed steadily since then. With our more than 120 employees, we support companies with innovative cloud solutions, container technologies and cybersecurity in their digitalisation.
What we offer:
At Claranet, you can bring your strengths to bear in exciting and innovative projects. We realise our mission #helpingourcustomersdoamazingthings with the latest technologies in an ambitious environment and with the most friendly and diverse colleagues. Here, we make it a priority to make you feel welcome by offering you easy communication, flexible working hours, space for your motivation, and ongoing development opportunities. In addition, we offer many additional benefits, such as a flexible remote or hybrid work policy, 31 days of vacations, free job tickets, and much more.
Are you interested in this job opening but are currently on the run, and you do not have your CV at hand, or do you have questions about the role? No problem. Call us by phone at 069 40 80 18 475 or just send us your contact details at email@example.com. You are welcome to leave us your Xing/LinkedIn contact in advance.
We look forward to receiving your application documents, stating your salary expectations and the job ID DA 1010. Please note that we only accept PDF or JPG file formats.
Hanauer Landstraße 196
60314 Frankfurt am Main