Position: Senior Data Engineer IRC192044
Company: GlobalLogic
Experience required: 5y
English level: upper

Schindler was founded in 1874 in Lucerne, Switzerland, and is one of the world’s leading providers of elevators, escalators, and moving walks, as well as maintenance and modernization services. The Group has over 1 000 branch offices in more than 100 countries, as well as production sites and research and development facilities in the US, Brazil, Europe, China, and India.

The project is designed to develop strong analytics and visualization framework in Azure that fulfils customer’s use cases for elevator and escalator related data.

**Requirements:**
4-6 year experience
Experienced Cloud/ Data Engineer 2+ years
Experience with database languages (SQL,KQL)
CICD or basic devops for our operations 
Experience with Big Data tools (spark, etc.) 
Experience with Python, Pandas, Spark (ideally PySpark), TensorFlow (a plus)
Experience with design, implementation, and support of use case-driven cloud-infrastructure solutions
Experience in Machine Learning, data handling, labelling, feature engineering, modelling
(at best at scale)
Knowledge and practice with Git and Bitbucket
Ideally experience with PowerBi
Analytical thinking, open-minded, well communicating

**Responsibilities:**
Support in development of E2E data pipeline to process and visualize Comstack and ElevateMe data for customer use cases
Set up Azure services for the data pipeline from data ingestion to data analytics to visualization
Support in Cloud architecture design and implementation for current and future use cases around visualizing and analyzing ComStack data
Build PowerBI dashboards for data visualization and insights presentation
Support experts in the validation process such as to confirm the correctness of data provided through the API packages
Gather and discuss requirements from stakeholders for data analysis tasks, and provide regular updates during project meetings