Position: Data engineer
Company: Raiffeisen Bank
Category: Data Science
Experience required: 3y
English level: intermediate

**What to do:**
- design and development of data processing pipelines for ML solutions
- building cloud native deliveries for on-premise Kubernetes cluster or AWS deployment
- interacting with stakeholders for requirements elicitation
- research and prototyping of promising tools/approaches/practices with further implementation
- managing knowledge base / technical documentation for developed solutions
- participating in Enterprise Data Platform design and development

**Expectations:**
- passion for data
- good team player
- fast learner and adaptable to changing environment
- result oriented and proactive
- problem solving skills

**What we need:**
- experience in Data Engineering / DB Development / ETL Development 3+ years
- expert knowledge of Python, SQL, PL/SQL
- good knowledge of RDBMS Oracle, PostgreSQL
- experience in Big Data stack Hadoop, HBase, Kafka, Spark
- experience in AWS EC2, S3, EBS, EKS, Lambda, Athena, SNS/SQS
- experience in Kubernetes, Docker, Linux
- experience in Git GitLab
- good communication skills English intermediate+ — verbal and written

**Would be a plus:**
- experience in Apache NiFi
- knowledge of Jenkins and CI/CD principles, experience in pipelines development
- knowledge and experience in Data Science / Machine Learning
- experience with processing of large amount of data
- analytics and design skills
- experience in Jira and Confluence

**What we offer:**
- join a large international company that gives possibility for professional and personal growth
- involvement in challenging, large-scale and diverse projects which have impact for the customers
- knowledge sharing with colleagues from abroad strong IT community including 14 Raiffeisen Group Banks
- competitive salary
- official employment, 28 days of paid vacation
- in-company events and involvement into social projects