Position: Cloud Engineer (Big Data/Data Lake)
Company: UDC/Raiffeisen Bank International
Category: Data Science
Experience required: 3y
English level: upper

As Cloud Engineer you will act hand in hand with data scientists, big data architects and data consumers across CEE to plan and execute data integration. You will be in charge for data definition and the mapping from raw data to final data products running on the data lake eco-system. Additionally, in the revolution of classic ETL you will be part of rapid prototyping, visualization and BI projects for big data consumers.

**Your tasks:**
- 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

**We expect :**
- 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
- Good knowledge of English
- 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

**What you might like about us?**
• Motivated team in one of the leading banking groups in Austria and Central and Eastern Europe
• Knowledge sharing in our Group wide IT community including 14 Raiffeisen Banks
• Competitive Salary twice a month (based on EUR NBU rate)
• English courses (twice a week + speaking club)
• Long-term official employment, sustainable and stable working environment
• Paid sick leave and vacation (31 days per year)
• Medical insurance
• Access to professional development programs (IT academy, ISTQB certification etc.)
• Comfortable work conditions (open space office)
• Possibility of remote work

**Our selection process includes:**
• CV pre-screening and short call with Olga or Alina
• Virtual interview with Division Lead and technical experts from the project (1.5 hours)
• Background security check running in parallel
• Prompt feedback after every stage and a short summary of next steps

If you are interested in this opportunity, please apply now.