Position: Cloud Engineer — Big Data/Data Lake
Company: UPC Raiffeisen Bank International
Category: Lead
Experience required: 3y
English level: upper

Required skills

— About 3 years of experience in implementing integration components and applications, especially in the area of big data / cloud projects or systems integration
— 2 or more years of Hadoop experience (Hortonworks, Cloudera preferred, AWS Cloud) in building data ingestion and transformation
— Hands-on experiences in data discovery, blending data and data cleansing for analytical purposes from various sources of data
— Professional experience in designing and developing solutions in Python
— Profound experience with CD / DevOps methodology and good overview of related tools or tool chains
— Demonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload management
— Fluent knowledge of English; German or another CEE language is appreciated, but not mandatory
— Open and team-minded personality and communication skills
— Willingness to work in an agile environment
— Willingness to travel (Austria/Vienna)

As a plus

— Real time processing of data such as KAFKA, etc.
— Profound experience in Data Engineering
— Understanding of banking business in general

We offer

• Join our dynamic and motivated team in one of the leading banking groups in Austria and Central and Eastern Europe
• Strong support from an international banking & technology team
• Competitive Salary (based on EUR NBU rate)
• Long-term official employment, sustainable and stable working environment. Sick leave, paid vacation (31 days per year).
• Medical insurance
• Dedication and commitment to develop and educate our employees
• Possibility to travel and to contribute to and benefit from international communities
• Comfortable work conditions

Responsibilities

— Collaborate with data and analytics experts to strive for greater functionality in our data systems
— Design, use and test the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies (DevOps & Continuous Integration)
— Drive the advancement of RBI data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage
— Assemble large, complex data sets that meet functional / non-functional business requirements
— Build data integration from various sources and technologies to the data lake infrastructure as part of an agile delivery team
— Monitor the capabilities and react on unplanned interruptions ensuring that environments are provided & loaded in time
— Manage incidents reported by data deliverers or data consumers and provide service reporting