Our client is Siemens Healthineers, a global medical technology company.
The Data Lake Data Engineer Professional provides support for Laboratory Diagnostics delivering various Data Lake Services to drive digitalization in the company by creating innovative, data-based solutions as well as to enable self-service analytics on our data lake platform in the cloud.
TASKS AND RESPONSIBILITIES
You will be responsible for implementing data/analytics projects on the internal business analytics solution platform based on defined business requirements to accelerate digitalization of our Laboratory Diagnostics division
You will work with dedicated team for Laboratory Diagnostics to clarify technical requirements for analytical problems (focus data integration and modeling), providing them with implementation guidance as part of projects or change requests
You will contribute to the solution architecture and development in our Cloud Data Lake
You will ensure smooth deployment/operation of the Cloud production system incl. 3rd level support (ticket resolution) and coordination of outages with technical and business stakeholders
You will develop, implement and operate data provisioning requests, including data integration, views and flows (e.g. ETL)
You will engineer and automate our Cloud environments for security, reliability, monitoring and scale
You will pro-actively identify and implement improvements to maintain optimal system performance
QUALIFICATIONS AND EXPERIENCE
Bachelor or technical degree
Experience as a Software Developer or DevOps Engineer in agile working models
Experience in the field of data management and data architecture, with a particular focus on databases and database languages (SQL)
Technical expertise in working with DB technologies (Snowflake, Oracle, Hadoop, MS-SQL etc.), data integration methods ODBC, CDC and ETL and / or data catalog tools (Informatica EDC /Axon, Collibra, o.a.)
Experience in data models of Enterprise Suites SAP ERP, SAP BI, SAP HANA
Understanding of Windows, Linux, MS Office, JSON, Restful APIs, SQL, Azure infrastructure and Azure based Solutions, VM
Understanding of enterprise data landscapes and architectural building blocks and various data assets
Understanding of frontend and analytics applications like Qlik or PowerBI
Fluent English
ATTRIBUTES AND SKILLS
Results-driven with the ability to take initiative
Handle multiple parallel tasks by shifting priorities to meet deadlines
Liaise closely with project managers and development team members to understand technical requirements and to develop solutions accordingly
Team player and able to demonstrate influencing and relationship-building skills with clients, partners and people from various backgrounds and cultures
Good communication skills and the ability to interact with project managers and operation teams
Fluent English enables you to collaborate and communicate with colleagues in an international environment
